Dominant Color Research Articles

Emocolor: An assistant design method for emotional color matching based on semantics and images

AbstractMuch research has been done on the relationship between emotions and colors, and many color scheme recommendation tools have been developed. These tools can often help recommend a suitable color scheme to express a certain emotion, but it is still difficult to design satisfying schemes based on such recommendations. In this study, based on the Color Scheme Bible, Compact Edition, we developed Emocolor, which allows professionals to generate a large number of color schemes based on emotional words or emotional images. It is also used to iteratively optimize the generated color schemes based on an interactive genetic algorithm to find the color scheme design that best matches the user's emotion. Through the evaluation of tram color schemes based on emotional words, Emocolor can effectively generate tram color schemes that match users’ emotions. It can also effectively transfer the emotion of an image with a single dominant color to a tram color scheme. In short, Emocolor can help professionals describe the relationship between emotion and color in a more accurate way and design emotional color schemes. Emocolor can be applied in advertising design, product design, interior design, and other fields.

Phenotypes characterization and ABC genotypes distribution of clinical Candida albicans isolates.

Candidemia and vaginitis are the most common types of candidiasis mostly caused by Candida albicans species. C. albicans has several genotypes and the potential ability to form different phenotype colonies on specific media. This study aimed to evaluate the genotype distribution of blood and vaginal C. albicans isolates and phenotype characteristics on Spider and yeast peptone dextrose agar medium. A total of 40 clinical Candida albicans isolates comprising vagina (20) and blood (20) were used. ABC typing using CA-INT-R and CA-INT-L primers was performed to span the transposable group I intron of the 25S rDNA gene. For colony phenotypic characteristics, the Spider and YPDA media were used. Among the blood and vaginal isolates, genotype A (12/60%) and genotype C (10/50%) were the most common types, respectively. The highest phenotype shape frequency of the colonies in blood and vaginal samples was the ring and the lowest was the hat/ring. The dominant color phenotype in blood and vaginal samples was gray. There was a significant relationship between genotype and phenotype forms in the blood sample on YPDA medium (p = 0.02). In the Spider medium, there were no significant differences between genotypes and phenotypes. In this study, genotype A and genotype C were predominant in blood and vaginal samples, respectively. In both groups, YPD agar medium demonstrated the most variety of phenotypes that was related to genotypes A and C. The variety of phenotypes in both groups was the same in genotypes A and C on the Spider medium.

A detailed study of the variations found in the chrysalises of Aglais caschmirensis Kollar, 1844 (Lepidoptera: Papilionoidea, Nymphalidae)

Ninety larvae of Aglais caschmirensis Kollar, 1844 were studied in September 2022 in Dharamshala, Himachal Pradesh, India. All the larvae were fed on the host plant Urtica dioica. The study reveals that the larvae of Aglais caschmirensis Kollar, 1844 produce chrysalises of four different colors i.e., Golden, Red, Green, and Brown. This study found that Golden is the most dominant color of chrysalises with the highest survival rate while Green is the rarest color in chrysalises. The survival rate of Brown colored chrysalises is moderate while interestingly all the red chrysalises were affected by parasitoids and did not survive which shows that Parasitoidism is somehow responsible for phenotypic variations in the chrysalises of Aglais caschmirensis Kollar, 1844.

Global dominator coloring of unicyclic graphs

Let [Formula: see text]. A vertex [Formula: see text] is a dominator of [Formula: see text] if [Formula: see text] dominates every vertex in [Formula: see text] and [Formula: see text] is said to be an anti-dominator of [Formula: see text] if [Formula: see text] dominates none of the vertices of [Formula: see text]. Let [Formula: see text] be a coloring of [Formula: see text] and let [Formula: see text]. A color class [Formula: see text] is called a dom-color class or an anti-dom-color class of the vertex [Formula: see text] according as [Formula: see text] is a dominator of [Formula: see text] or an anti-dominator of [Formula: see text]. The coloring [Formula: see text] is called a global dominator coloring of [Formula: see text] if every vertex of [Formula: see text] has a dom-color class and an anti-dom-color class in [Formula: see text]. The minimum number of colors required for a global dominator coloring of [Formula: see text] is called the global dominator chromatic number and is denoted by [Formula: see text]. This parameter was introduced in [I. S. Hamid and M. Rajeswari, Global dominator coloring of graphs, Discuss. Math. Graph Theory 39 (2019) 325–339]. This paper further extends the study by obtaining the value of [Formula: see text] for unicyclic graphs.

Microplastic Accumulation in Catfish and Its Effects on Fish Eggs from Songkhla Lagoon, Thailand

Microplastics have been found to accumulate in freshwater, marine ecosystems, and biological organisms. The frequency of studies on microplastic contamination in organs has increased recently, although there have been relatively fewer investigations on fish eggs in Thailand. To extract microplastics from catfish samples for laboratory analysis (Osteogeneiosus militaris), we used 10% potassium hydroxide in the digestion process. A needle penetrated the fish eggs to investigate microplastic contamination. We examined microplastics under a stereomicroscope and used Fourier transform infrared spectroscopy to determine the type of polymer. We found microplastic contamination in organs, most commonly in the stomach (0.91 ± 0.13 items/g), followed by tissue (0.53 ± 0.09 items/g), and gills (0.30 ± 0.03 items/g) at the level of significance p < 0.01. We found a total of 349 fish eggs with 27 items of microplastic. The dominant microplastic we found in the stomach, tissue, and gills of the fish, as well as in fish eggs, was of fiber shape. We noted that fragments were found only in the stomach and tissue of fish. The dominant color of microplastics was black in organs and blue in fish eggs. The common polymer types in organs and fish eggs were polyethylene terephthalate, polypropylene, and cellulosic fiber.

Effects of tidal action on the stability of microbiota, antibiotic resistance genes, and microplastics in the Pearl River Estuary, Guangzhou, China

In this study, the 16S rRNA gene amplicon sequencing technique was used to explore the microbial diversity and differences in the water environment of the Pearl River Estuary in Nansha District with various land use types such as the aquaculture area, industrial area, tourist area, agricultural plantation, and residential area. At the same time, the quantity, type, abundance, and distribution of two types of emerging environmental pollutants, antibiotic resistance genes (ARGs) and microplastics (MPs), are explored in the water samples from different functional areas. The results show that the dominant phyla in the five functional regions are Proteobacteria, Actinobacteria and Bacteroidetes, and the dominant genera are Hydrogenophaga, Synechococcus, Limnohabitans and Polynucleobacter. A total of 248 ARG subtypes were detected in the five regions, belonging to nine classes of ARGs (Aminoglycoside, Beta_Lactamase, Chlor, MGEs, MLSB, Multidrug, Sul, Tet, Van). Blue and white were the dominant MP colors in the five regions; 0.5–2 mm was the dominant MP size, and cellulose, rayon, and polyester comprised the highest proportion of the plastic polymers. This study provides the basis for understanding the environmental microbial distribution in estuaries and the prevention of environmental health risks from ARGs and microplastics.

Assessing the Occurrence and Distribution of Microplastics in Surface Freshwater and Wastewaters of Latvia and Lithuania.

Microplastic concentrations in surface water and wastewater collected from Daugavpils and Liepaja cities in Latvia, as well as Klaipeda and Siauliai cities in Lithuania, were measured in July and December 2021. Using optical microscopy, polymer composition was characterized using micro-Raman spectroscopy. The average abundance of microplastics in surface water and wastewater samples was 16.63 ± 20.29 particles/L. The dominant shape group of microplastics in water was fiber, with dominant colors found to be blue (61%), black (36%), and red (3%) in Latvia. Similar distribution in Lithuania was found, i.e., fiber (95%) and fragments (5%) with dominant colors, such as blue (53%), black (30%), red (9%), yellow (5%), and transparent (3%). The micro-Raman spectroscopy spectra of visible microplastics were identified to be polyethylene terephthalate (33%) and polyvinyl chloride (33%), nylon (12%), polyester (PS) (11%), and high-density polyethylene (11%). In the study area, municipal and hospital wastewater from catchment areas were the main reasons for the contamination of microplastics in the surface water and wastewater of Latvia and Lithuania. It is possible to reduce pollution loads by implementing measures such as raising awareness, installing more high-tech wastewater treatment plants, and reducing plastic use.

Scenic Beauty Evaluation of Forests with Autumn-Colored Leaves from Aerial and Ground Perspectives: A Case Study in Qixia Mountain in Nanjing, China

In recent years, on-site visitation has been strictly restricted in many scenic areas due to the global spread of the COVID-19 pandemic. “Cloud tourism”, also called online travel, uses high-resolution photographs taken by unmanned aerial vehicles (UAVs) as the dominant data source and has attracted much attention. Due to the differences between ground and aerial observation perspectives, the landscape elements that affect the beauty of colored-leaved forests are quite different. In this paper, Qixia National Forest Park in Nanjing, China, was chosen as the case study area, and the best viewpoints were selected by combining tourists’ preferred viewing routes with a field survey, followed by a scenic beauty evaluation (SBE) of the forests with autumn-colored leaves in 2021 from the aerial and ground perspectives. The results show that (1) the best viewpoints can be obtained through the spatial overlay of five landscape factors: elevation, surface runoff, slope, aspect, and distance from the road; (2) the dominant factors influencing the beauty of colored-leaved forests from the aerial perspective are terrain changes, forest coverage, landscape composition, landscape contrast, the condition of the human landscape, and recreation frequency; and (3) the beauty of the ground perspective of the colored-leaved forests is strongly influenced by the average diameter at breast height (DBH), the dominant color of the leaves, the ratio of the colored-leaved tree species, the canopy width, and the fallen leaf coverage. The research results can provide scientific reference for the creation of management measures for forests with autumn-colored leaves.

A k-means clustering and histogram-based colorimetric analysis of metal album artworks: The colour palette of metal music

Because of its marketing impact and key role in the definition of a band’s visual identity, the artwork of a metal album is carefully designed to reflect the music played by the band. Bearing in mind the historical association between colour and music, we performed a quantitative colorimetric analysis of 1150 metal album artworks (MAA) (and of 400 non-metal artworks for the purpose of comparison) in order to study the place of colours in metal artworks visual identity. In each artwork, we have extracted its five dominant colours (with a k-means clustering algorithm) and underwent a colour histogram analysis. We showed that MAA appear darker than their non-metal counterparts. We derived a colour palette of MAA and showed that black, (dark) grey and brown/orange tones are by far the most frequently used colours. The presence of these ‘metal colours’ is very consistent between metal subgenres. However, the visual identity of some metal subgenres encompasses specific artwork colorimetric rules. Black metal album covers are darker and mainly use black and dark grey. Groove metal artworks tend to display warmer and more saturated colours with an increased use of brownish and orange tones. Drone metal albums are lighter while crossover albums have a mottled appearance. Nevertheless, for most of the metal subgenres the artwork visual identity seems to rely on colour-independent elements. We suppose that this identity might rather be built on thematic elements and probably also on the logotypes’ style. A lot of work remains to be done to clearly understand what makes metal albums look so peculiar.

Phish-Sight: a new approach for phishing detection using dominant colors on web pages and machine learning

Phish-Sight: a new approach for phishing detection using dominant colors on web pages and machine learning

Microplastics and mesoplastics as emerging contaminants in Tehran landfill soils: The distribution and induced-ecological risk

Environmental pollution with microplastics (MPs) and mesoplastics (MEPs) and their potential risks to human health and ecosystem quality have aroused the concern of communities. Therefore, the pioneering study was conducted on Tehran landfill soil contamination with MPs and MEPs. 56 shallow and deep soil samples were collected from different landfill areas in the wet and dry seasons. The physical and chemical characteristics of MPs and MEPs were measured using a stereomicroscope and FTIR-ATR spectroscopy, respectively. The results showed that the average MP abundance in shallow and deep soil was 863 ± 681 and 225 ± 138 particles/kg soil, and for MEPs, it was 29.8 ± 6.4 and 18.1 ± 8.3 particles/kgsoil. The low-density plastic particles were separated completely by flotation with H2O, NaCl, and ZnCl2 solutions, but PVC was only separated by 90%. Over 90% of MPs and MEPs were LDPE, PP, and PS polymers, explained by their widespread applications in single-use products and their consumption in Iran. Films, white and black, and 0.1–0.5 mm were the dominant shapes, colors, and sizes of MPs, respectively. The prevailing MEPs were film-shaped and in white and yellow colors, with a size of 0.5–1.0 cm. Canonical correlation analysis indicated that total organic matter and moisture were highly correlated with MP shapes. The calculated polymer hazard index values have a wide range at different sampling points, and this index yielded hazard levels III-IV and II-IV for MPs and MEPs, respectively, while according to the pollution load index category, the hazard level of MPs and MEPs was I-II and I. The potential ecological risk index from combined polymers has been estimated to be of minor to extreme danger for MPs and of minor risk for MEPs. Our findings provided baseline data on MPs contamination in Tehran landfill soil and its associated ecological risk, which aids policymakers in implementing risk-reduction measures.

Kelimpahan dan Jenis Mikroplastik pada Sedimen Lamun di Perairan Nusa Dua, Bali

The Indonesian archipelago, especially Bali, has extensive coastline and marine waters. However, it is undeniable that some of these waters contain much plastic waste. Nusa Dua waters are located in the Bali Province area with many complex activities, ranging from port activities, water sports, tourism, restaurants, hotels, fishing activities, and others, so they have a high potential for plastic waste pollution. Plastic waste that floats in the ocean will degrade and become small debris called microplastics. Marine plastic debris is divided into several varieties based on size. It is called microplastic for those less than 5 millimeters in length; for those above 5 mm and up to 25 mm, it is mesoplastic. This study aimed to determine the abundance and types of microplastics found in Nusa Dua. This research was conducted in November-Desember 2021. Sampling was carried out in situ with the simple random sampling method of 400 grams of each sample at ten stations. Sediment sampling was carried out using a shovel. Then the ex-situ processing was carried out by drying wet sediment, weighing dry sediment, density separation, filtering, and visual sorting. The results showed that the seagrass sediments in Nusa Dua waters were contaminated with microplastic. Four types of microplastic were found: fragment, fiber/filament, film/soft plastic, and foam. As many as 17 particles fragment the type of microplastic that dominates. The dominant color is blue. The highest total abundance of microplastics was found at station 6, as much as 35.1 particles/kg with different densities of seagrass species at each station. The density of seagrass species itself reaches the range of 1.2 stands/m2

Occurrence and spatial distribution of microplastics in sediment and fish along the Persian Gulf-a case study: Bushehr Province, Iran.

Microplastics (MPs) contamination in the marine environment is a global threat. The present study is the first to comprehensively investigate the MPs contamination in the marine environment in Bushehr province along the Persian Gulf. For this purpose, 16 stations were selected along the coast and 10 fish samples were collected. The results obtained from MPs in sediment samples indicate the mean abundance of MPs in different sediment samples was 57.19Particles/Kg. The dominant MPs color in sediment samples was black, accounting for 47.54%, followed by white (36.07%). As for MPs in fish, the highest MPs digested in different fish samples were 9. In addition, over 83.3% of MPs observed in fishes were black followed by red and blue (6.67%). Overall, the presence of MPs in fish and sediment can be attributed to improper disposal of industrial effluents; an efficient measurement is required in order to improve the quality of the marine environment.

Entrainment and horizontal atmospheric transport of microplastics from soil

Soils are an important source of microplastics (MPs) to the atmosphere but the fluxes and mechanisms involved in MPs entrainment are not well understood. In the present study, a series of horizontally aligned sediment traps have been deployed at different heights within 1 m above the ground for a two-month period at various locations in an arid region (Sarakhs, Iran). MPs were isolated from sediments and were quantified and characterised according to size, colour, shape and polymer composition by established techniques. Most MPs were <250 μm in length, fibres were the most important shape, black and blue-green were the dominant colours, and polymer abundance decreased in the order polyethylene > nylon > polypropylene > polystyrene > polyethylene terephthalate. The distributions of sediment mass (range <0.01–9 g) and number of MPs (range = 0 to 21) were heterogeneous, both between sites and at the different heights sampled, and yielded median, vertically-averaged horizontal fluxes for the region of about 450 g m−2 d−1 and 2600 MP m−2 d−1, respectively. However, when data were pooled, the number of MPs normalised to sediment mass exhibited a significant inverse relationship with sediment mass, an effect attributed to the presence of ambient suspended MPs and sediment that are diluted by the suspension of soil and deposited MPs at higher wind speeds. The mechanisms of MP saltation and entrainment were not ascertained but a theoretical framework for threshold shear velocity based on regularly-shaped particles and density considerations is presented. Further experimental work is required to verify this framework, and in particular for fibrous MPs with different aerodynamic properties to soil particles.

Characterization of suspended microplastics in surface waters of Chalakudy River, Kerala, India

ABSTRACT The investigation focused on identification and quantification of microplastics in surface waters of Chalakudy River, Kerala. Microplastics were detected in the surface waters of the study area with a recovery rate of 108.33 mg particles L−1. The abundance of microplastics ranged from 15.13 ± 4.13 – 170 ± 17.75 particles L−1 (mean: 55.81 ± 34 particles L−1). A maximum number of microplastics were obtained from site C3 and the least from site C8. The weight distribution of microplastic on sites exhibited strong positive correlation with the abundance (r = 0.83). Microplastics of size <20 µm were in higher abundance in the study area. Microscopic examination revealed fragments (47.06%) as predominant plastics and the dominant colour was brown/mud (26.99%). Abundance of coloured plastics indicated the probability of damage to aquatic life. Raman spectrum analysis revealed that Low-Density Poly Ethylene (40%) as the predominant polymer that could be observed at all the sampling sites. Lower-sized microplastics would cause accidental ingestion by organisms. The estimated release of a higher average number of microplastic particles (55.81 ± 4.25) into the marine environment is of serious concern. The observed overall abundance and recovery rate of microplastics in the study area indicated the status of contamination due to a multitude of sources.

Optimized and Efficient Color Prediction Algorithms Using Mask R-CNN

Color cognizant capability has a significant impact in service robots for object detection based on color, traffic signal interpretation for autonomous vehicles, etc. Conventional clustering algorithms such as K-means and mean shift can be used for predicting the dominant color of an image by mapping the pixels from RGB to HSV and clustering them based on HSV values, thereby picking the cluster with the most pixels as the dominant color of the image, but these approaches are not solely dedicated to the same outcome. This research’s goal is to introduce novel techniques for predicting the dominant color of objects in images, as well as pixel extraction concepts, which allow these algorithms to be more time and efficiency optimized. This investigation appraises propriety of integrating object detection and color prediction algorithms. We introduce a dominant color prediction color map model and two new algorithms: average windowing and pixel skip. To predict objects in an image prior to color prediction, we combined the Mask R-CNN framework with our proposed techniques. Verification of our approach is done by creating a benchmark dataset of 200 images and comparing color predicted by algorithms with actual color. The accuracy and runtime of existing techniques are compared with those of the proposed algorithms to prove the superiority of our algorithms. The viability of the proposed algorithms was demonstrated by scores of 95.4% accuracy and color prediction time of 9.2 s for the PXS algorithm and corresponding values of 93.6% and 6.5 s for the AVW algorithm.

Fine Mapping and Identification of SmAPRR2 Regulating Rind Color in Eggplant (Solanum melongena L.)

Rind color is an economically important agronomic trait in eggplant that impacts consumer preferences. In this study, bulked segregant analysis and competitive allele-specific PCR were employed to identify the candidate gene for eggplant rind color through constructing a 2794 F2 population generated from a cross between "BL01" (green pericarp) and "B1" (white pericarp). Genetic analysis of rind color revealed that a single dominant gene controls green color of eggplant peel. Pigment content measurement and cytological observations demonstrated that chlorophyll content and chloroplast number in BL01 were higher than in B1. A candidate gene (EGP19168.1) was fine-mapped to a 20.36 Kb interval on chromosome 8, which was predicted to encode the two-component response regulator-like protein Arabidopsis pseudo-response regulator2 (APRR2). Subsequently, allelic sequence analysis revealed that a SNP deletion (ACT→AT) in white-skinned eggplant led to a premature termination codon. Genotypic validation of 113 breeding lines using the Indel marker closely linked to SmAPRR2 could predict the skin color (green/white) trait with an accuracy of 92.9%. This study will be valuable for molecular marker-assisted selection in eggplant breeding and provides theoretical foundation for analyzing the formation mechanism of eggplant peel color.

Infinite-color randomly reinforced urns with dominant colors

We define and prove limit results for a class of dominant P\'olya sequences, which are randomly reinforced urn processes with color-specific random weights and unbounded number of possible colors. Under fairly mild assumptions on the expected reinforcement, we show that the predictive and the empirical distributions converge almost surely (a.s.) in total variation to the same random probability measure $\tilde{P}$; moreover, $\tilde{P}(\mathcal{D})=1$ a.s., where $\mathcal{D}$ denotes the set of dominant colors for which the expected reinforcement is maximum. In the general case, the predictive probabilities and the empirical frequencies of any $\delta$-neighborhood of $\mathcal{D}$ converge a.s. to one. That is, although non-dominant colors continue to be regularly observed, their distance to $\mathcal{D}$ converges in probability to zero. We refine the above results with rates of convergence. We further hint potential applications of dominant P\'olya sequences in randomized clinical trials and species sampling, and use our central limit results for Bayesian inference.

Serial Recombineering Cloning to Build Selectable and Tagged Genomic P[acman] BAC Clones for Selection Transgenesis and Functional Gene Analysis using Drosophila melanogaster.

Transgenes with genomic DNA fragments that encompass genes of interest are the gold standard for complementing null alleles in rescue experiments in the fruit fly Drosophila melanogaster. Of particular interest are genomic DNA clones available as bacterial artificial chromosomes (BACs) or fosmids from publicly available genomic DNA libraries. Genes contained within BAC and fosmid clones can be easily modified by recombineering cloning to insert peptide or protein tags to localize, visualize, or manipulate gene products, and to create point mutations or deletions for structure-function analysis of the inserted genes. However, since transgenesis efficiency is inversely correlated with transgene size, obtaining transgenic animals for increasingly larger BAC and fosmid clones requires increasingly laborious screening efforts using the transgenesis marker commonly used for these transgenes, the dominant eye color marker white+ . We recently described a drug-based selectable genetic platform for Drosophila melanogaster, which included four resistance markers that allow direct selection of transgenic animals, eliminating the need to identify transgenic progeny by laborious phenotypic screening. By integrating these resistance markers into BAC transgenes, we were able to isolate animals containing large transgenes by direct selection, avoiding laborious screening. Here we present procedures on how to upgrade BAC clones by serial recombineering cloning to build both selectable and tagged BAC transgenes, for selection transgenesis and functional gene analysis, respectively. We illustrate these procedures using a BAC clone encompassing the gene encoding the synaptic vesicle protein, cysteine string protein. We demonstrate that the modified BAC clone, serially recombineered with a selectable marker for selection transgenesis and an N-terminal green fluorescent protein tag for gene expression analysis, is functional by showing the expression pattern obtained after successful selection transgenesis. The protocols cover: (1) cloning and preparation of the recombineering templates needed for serial recombineering cloning to incorporate selectable markers and protein tags; (2) preparing electrocompetent cells needed to perform serial recombineering cloning; and (3) the serial recombineering workflow to generate both selectable and tagged genomic BAC reporter transgenes for selection transgenesis and functional gene analysis in Drosophila melanogaster. The protocols we describe can be easily adapted to incorporate any of four selectable markers, protein tags, or any other modification for structure-function analysis of the genes present within any of the BAC or fosmid clones. A protocol for generating transgenic animals using serially recombineered BAC clones is presented in an accompanying Current Protocols article (Venken, Matinyan, Gonzalez, & Dierick, 2023a). © 2023 Wiley Periodicals LLC. Basic Protocol 1: Cloning and preparation of recombineering templates used for serial recombineering cloning. Basic Protocol 2: Making electrocompetent cells of the bacterial strains used to perform serial recombineering cloning or induction of plasmid copy number. Basic Protocol 3: Serial recombineering cloning to generate both selectable and tagged genomic P[acman] BAC reporter transgenes for selection transgenesis and gene expression analysis in Drosophila melanogaster.

A Comparison of Fuzzy C-Means and K-Means Clustering for Extraction of City Colours

Abstract: The colour palette of each urban metropolis reflects its cultural identity and its unique flair. For urban development and urban renewal projects, incorporating a city’s existing colour palette into a construction plan would ensure that the completed project would be in harmony with the existing colour schemes of a neighbourhood. An earlier investigation implemented Fuzzy C-Means (FCM) colour extraction to identify five dominant colours from the images of each of the twelve major cosmopolitan cities that are situated on six continents. These cities were Cairo, Cape Town, Singapore, Tokyo, Perth, Sydney, London, Madrid, Mexico City, New York City, Buenos Aires, and Lima. This current research is a follow-on investigation of the previous city colour extraction study. It applies K-Means clustering to acquire five dominant colours for each of these 12 cities. The goal of this current research is to determine if the type of clustering method implemented would impact the results of the extracted colours. This is accomplished by comparing the city colours obtained by executing the K-Means clustering technique on these 12 cities and comparing these colours with those that were obtained from the previous FCM study