Abstract
This study aims to develop a segmentation technique that can be used to identify objects in an image. The concept used is to imitate the human concept of recognizing an object based on its color difference. A color is considered different if it has different R, G or B values. Humans can only distinguish two colors clearly if they both have a DeltaE value of at least 8. The difference in DeltaE values is obtained from differences in the values of R, G or B, either alone or in pairs. The application of this concept to the segmentation technique has shown good results. This technique is able to give the same results and is good for images with JPG, PNG and BMP file types. The results of this segmentation will be very suitable for the process of identifying objects in an image.
Highlights
IntroductionSegmentation is the process of separating an object from other objects in an image based on certain characteristics
Image segmentation using the proposed method, which is based on color dissimilarity in an image, was able to sort the image well
Noting the results shown by this segmentation method are so clear, it is certain that this method can be used to separate an object from another object in an image
Summary
Segmentation is the process of separating an object from other objects in an image based on certain characteristics. The purpose of image segmentation is to divide the image into sections / segments that have similar features or attributes. Based on his understanding, segmentation has the aim of finding specific characteristics possessed by an image. An image is separated based on certain criteria so that the image is divided into groups of areas with the same properties [1]. The segmentation process divides images into small areas to be analyzed and used to distinguish different types of objects in an image [2]. Image segmentation is one of the most important object recognition stages for the artificial vision system. With the support of problem solving abilities and the application of other disciplines, it has encouraged further research to be carried out [5]
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