Video Image Acquisition Research Articles

Design of a Vehicle Chassis Inspection Robot Based on WiFi Network

Background: The vehicle chassis inspection robot introduced in this paper is capable of realizing automatic tracking, obstacle avoidance, and video image acquisition. The robot can be connected to a computer, mobile phone or other terminals through a WiFi network built within the robot, so as to achieve real time control of the robot motion, and to display videos or images collected by the robot on the computer screen. The system is simple and easy to operate, with high stability, high flexibility, precise directional control, and can satisfy the requirements in harsh environment. Methods and Materials: This design adopts a STC11F32XE microcontroller as the core, uses an ultrasonic sensor to detect the road objects and calculate the distance to the objects, anticipates and avoids obstacle during processing. The camera performs image acquisition and returns the picture to help easy detection of automotive chassis and manual robot control. The robot uses an infrared sensor to realize automatic obstacle avoidance, and it controls the travel speed as well as automatic stop by changing the PWM duty cycle. Conclusion: Through this research, an intelligent vehicle parking inspection system has been developed.

Nkx2.5 is essential to establish normal heart rate variability in the zebrafish embryo.

Heart rate variability (HRV) has become an important clinical marker of cardiovascular health and a research measure for the study of the cardiac conduction system and its autonomic controls. While the zebrafish (Danio rerio) is an ideal vertebrate model for understanding heart development, HRV has only recently been investigated in this system. We have previously demonstrated that nkx2.5 and nkx2.7, two homologues of Nkx2-5 expressed in zebrafish cardiomyocytes, play vital roles in maintaining cardiac chamber-specific characteristics. Given observed defects in ventricular and atrial chamber identities in nkx2.5-/- embryos coupled with conduction system abnormalities in murine models of Nkx2.5 insufficiency, we postulated that reduced HRV would serve as a marker of poor cardiac health in nkx2.5 mutants and in other zebrafish models of human congenital heart disease. Using live video image acquisition, we derived beat-to-beat intervals to compare HRV in wild-type and nkx2.5-/- embryos. Our data illustrate that the nkx2.5 loss-of-function model exhibits increased heart rate and decreased HRV when compared with wild type during embryogenesis. These findings validate HRV analysis as a useful quantitative tool for assessment of cardiac health in zebrafish and underscore the importance of nkx2.5 in maintaining normal heart rate and HRV during early conduction system development.

비디오 영상 기반의 해운대 해빈 변동특성

In this study, we analyzed the real time video image obtained from the video monitoring system to grasp the shoreline, beach width, and area change of Haeundae beach. The video monitoring techniques enabled continuous monitoring for a long period at a much lower cost than general survey methods. It was possible to grasp quantitative beach variation characteristics of Haeundae beach through image acquisition, rectification, and image processing of video images. According to the monitoring results, the erosion rate of Haeundae beach in spring and summer was -19.8% in 2014 and -6.7% in 2015. The erosion rate in 2016 was -6.4%, which showed that the erosion rate in spring and summer continued to decrease. In particular, the influence of the erosion at the time of typhoon CHABA was revealed to be smaller than in the past. It can be concluded that these variations were due to beach width expansion by beach nourishment and the installation of submerged breakwaters.

COVIMOS: A Coastal Video Monitoring System

This paper intends to explain the development of Coastal Video Monitoring System (CoViMoS) with the main characteristics including low-cost and easy implementation. CoViMoS characteristics have been realized using the device IP camera for video image acquisition, and development of software applications with the main features including detection of shoreline and it changes are automatically. This capability was based on segmentation and classification techniques based on data mining. Detection of shoreline is done by segmenting a video image of the beach, to get a cluster of objects, namely land, sea and sky, using Self Organizing Map (SOM) algorithms. The mechanism of classification is done using K-Nearest Neighbor (K-NN) algorithms to provide the class labels to objects that have been generated on the segmentation process. Furthermore, the classification of land used as a reference object in the detection of costline. Implementation CoViMoS system for monitoring systems in Cucukan Beach, Gianyar regency, have shown that the developed system is able to detect the shoreline and its changes automatically.

COVIMOS: A Coastal Video Monitoring System

This paper intends to explain the development of Coastal Video Monitoring System (CoViMoS) with the main characteristics including low-cost and easy implementation. CoViMoS characteristics have been realized using the device IP camera for video image acquisition, and development of software applications with the main features including detection of shoreline and it changes are automatically. This capability was based on segmentation and classification techniques based on data mining. Detection of shoreline is done by segmenting a video image of the beach, to get a cluster of objects, namely land, sea and sky, using Self Organizing Map (SOM) algorithms. The mechanism of classification is done using K-Nearest Neighbor (K-NN) algorithms to provide the class labels to objects that have been generated on the segmentation process. Furthermore, the classification of land used as a reference object in the detection of costline. Implementation CoViMoS system for monitoring systems in Cucukan Beach, Gianyar regency, have shown that the developed system is able to detect the shoreline and its changes automatically.

COVIMOS: A Coastal Video Monitoring System

This paper intends to explain the development of Coastal Video Monitoring System (CoViMoS) with the main characteristics including low-cost and easy implementation. CoViMoS characteristics have been realized using the device IP camera for video image acquisition, and development of software applications with the main features including detection of shoreline and it changes are automatically. This capability was based on segmentation and classification techniques based on data mining. Detection of shoreline is done by segmenting a video image of the beach, to get a cluster of objects, namely land, sea and sky, using Self Organizing Map (SOM) algorithms. The mechanism of classification is done using K-Nearest Neighbor (K-NN) algorithms to provide the class labels to objects that have been generated on the segmentation process. Furthermore, the classification of land used as a reference object in the detection of costline. Implementation CoViMoS system for monitoring systems in Cucukan Beach, Gianyar regency, have shown that the developed system is able to detect the shoreline and its changes automatically.

Instantaneous centre of rotation in human motion: measurement and computational issues

The instantaneous centre of rotation plays an important role in biomechanical modelling and physical-medical interpretation of human gestures. Therefore, we consider its measurement, based on video-image acquisition and processing of human motion records. Measurement and computational aspects are discussed, including the evaluation of measurement uncertainty and the estimation of the effect of some influence quantities on the determination of the position of the instantaneous centre of rotation.

Road marking abrasion defects detection based on video image processing

Pavement marking occupies an important position in the road traffic safety operation. A large number of domestic and foreign research and practice has proved that the effective use and maintenance of road signs and markings reduce traffic accidents and improve the capacity of great significance. The main content of this paper is the design of mobile video image acquisition device to road damage to the road traffic marking defect detection, video image to carry out research on road marking based on wear and breakage from video images. The process is random image acquisition of pavement markings, respectively the image pre-processing, image binarization, marking angle correction, marking extraction and detection. Finally, developing software on marking the wear and damage degree detection based on Matlab software then have an image processing experiments. The results show that the software can accurately detect the road wear and damage situation.

Thai License Plate Recognition System From a Video Stream

The objective of this project was to develop a computer system which is automatically capable of localization, segmentation and recognition of a Thai license plate from a video file. The system was called “Thai license plate recognition system” or “TLPRS”. The TLPRS consisted of 5 modules, which were 1) video image acquisition, 2) license plate localization, 3) character segmentation, 4) character recognition, and 5) result presentation. The experiment was conducted on video files and localized car license platesfrom video frames in every second. After that the system segmented each character and recognized it. The experiment was conducted on video files with total length of 2.5 hours, which consisted of 497 car images. Based on the experimental results, the precision rate of license plate localization was 91.95 percent, while the character segmentation rate was 64.19 percent and the character recognition rate was 93.26 percent.

Wireless Network Based Image Transmission between Heterogeneous Operating System

This paper presents the video image acquisition, transmission and display using wireless Internet network between two heterogeneous operating systems. First of all, the design of video acquisition system is designed. Based on V4L2 standard, the video acquisition program is devised. Secondly, by using the method of network programming, the design of network communication is completed based on TCP socket. Finally, based on OpenCV database, the image display interface is realized using MFC technology. The experiment shows that the designed system can realize image transmission between two different operating systems.

Design and technical evaluation of fibre-coupled Raman probes for the image-guided discrimination of cancerous skin

Two different designs for fibre-coupled Raman probes are presented that are optimized for discriminating cancerous and normal skin by achieving high epithelial sensitivity to detect a major component of the Raman signal from the depth range of the epithelium. This is achieved by optimizing Raman spot diameters to the range of ≈200 µm, which distinguishes this approach from the common applications of either Raman microspectroscopy (1–5 µm) or measurements on larger sampling volume using spot sizes of a few mm. Video imaging with a depicted area in the order of a few cm, to allow comparing Raman measurements to the location of the histo-pathologic findings, is integrated in both designs. This is important due to the inhomogeneity of cancerous lesions. Video image acquisition is achieved using white light LED illumination, which avoids ambient light artefacts. The design requirements focus either on a compact light-weight configuration, for pen-like handling, or on a video-visible measurement spot to enable increased positioning accuracy. Both probes are evaluated with regard to spot size, Rayleigh suppression, background fluorescence, depth sensitivity, clinical handling and ambient light suppression. Ex vivo measurements on porcine ear skin correlates well with findings of other groups.

Combined Acoustic and Video Characterization of Coastal Environment by means of Unmanned Surface Vehicles

The aim of this work is the exploitation of an Unmanned Surface Vehicle (USV) for visual and acoustic characterization of the seafloor in shallow water coastal environments, through combined acquisition of echograms and video images. To this purpose, the employed vehicle is composed by two systems: i) a leading USV, equipped with an advanced mission control architecture, which performed a grid sampling over the study area; ii) a towed vehicle hosting an integrated system for acquisition of video and ultrasonic images, from the water column and the seafloor, coupled with a GPS receiver, which provided the geo-referencing of the survey. Data acquisition was carried out over different seafloor types, which included rock outcrops and sediments (mostly sand). The main key-points of employing such techniques to this peculiar field of coastal area monitoring are the possibility to perform automated missions and the capability to operate in very shallow water areas, usually not accessible to conventional boats.

VFW在智能视频图像采集系统中的实际应用

针对远程视频会议及可视化视频会议存在缺陷的直观问题，提出一种基于VFW (Video for Windows)技术并利用Visual Studio 2010开发工具开发智能视频图像采集系统．详细分析了实时处理中用到的图形设备接口函数并最终实现远程可视化智能会议视频图像信息的采集。并在以上基础上实现了可视化的高精度视频会议采集软件。 In view of flawed visual problem of the remote video conference and visual video conference, a new technique which is based on VFW uses the developed tools of the Visual Studio 2010 to develop the intelligent video image acquisition system. As a result of the exhaustive analysis of the graphics device interface function which is used in the Real-time processing area, it achieves the goal which is to collect the video image information of the visual video conference. Therefore, based on the above, we can achieve the goal which is to develop the visualization of high-definition video conference capture software.

The Design and Implementation of a Video Image Acquisition System Based on VFW

Along with the development of technologies on computer, electronic and communication, there are more and more applications of digital image acquisition and processing technology used in computer and portable systems, such as videophone, digital cameras, digital television, video monitoring, camera phones and video conferencing etc. Digitized image makes image digital transmit with high quality, which facilitates image retrieval, analysis, processing and storage. In applications such as video conferencing, it is a crucial premise to capture videos. So, in this paper, we mainly introduce the video capture technology by exploiting the VFM video services library developed by Microsoft. Software based on VFW can directly capture digital videos or digitize the traditional analog videos and then clipping them.

Research on Definition Evaluation Algorithm of the Test Equipments for Phoropters

Definition evaluation function of the defocused image is key to realize automatic focusing. Sensitivity of the definition evaluation function can directly affect detection accuracy of the test equipments. By analyzing and summarizing the definition evaluation functions which are commonly used currently, we will present a new image definition evaluation function based on wavelet transform in this paper. On the basis of theoretical analysis, we also establish and analyze the mathematical model of evaluation function, and make experiment and simulation with the series of images collected by the video image acquisition system. Compared with the traditional definition evaluation function, the definition evaluation function of defocused image defined by this algorithm is more sensitive to fuzzy degree of image and more consistent with human subjective vision.

Multicamera Fusion-Based Leather Defects Marking System

Real-time acquisition of ultra-high wide view video images is essential in leather defects marking systems because this enables either the leather manufacturing process or an inspector to identify leather defects. The major challenge in this work is blending and stitching the multiple camera views to form a single fusion image map. In the fusion video image, the viewer is quite sensitive to incorrect stitching and blending when the marking pen is passing through the border between views. Hence, a set of geometric and photometric corrections have to be applied to each camera view in addition to careful blending of the image borders. In this paper, we present a real-time image capturing system that uses four cameras at 30 fps and stitches their views together to create a panoramic video with a resolution of 1280 × 960 px. The real-time fusion video image can be observed on a large screen next to the leather defects marking system and no manual alignment is necessary, resulting in savings in both labor and time.

PRODUCING A LINEAR LASER SYSTEM FOR 3D MODELIMG OF SMALL OBJECTS

Abstract. Today, three dimensional modeling of objects is considered in many applications such as documentation of ancient heritage, quality control, reverse engineering and animation In this regard, there are a variety of methods for producing three-dimensional models. In this paper, a 3D modeling system is developed based on photogrammetry method using image processing and laser line extraction from images. In this method the laser beam profile is radiated on the body of the object and with video image acquisition, and extraction of laser line from the frames, three-dimensional coordinates of the objects can be achieved. In this regard, first the design and implementation of hardware, including cameras and laser systems was conducted. Afterwards, the system was calibrated. Finally, the software of the system was implemented for three dimensional data extraction. The system was investigated for modeling a number of objects. The results showed that the system can provide benefits such as low cost, appropriate speed and acceptable accuracy in 3D modeling of objects.

Design of the Video Image Acquisition System Based on ADSP-BF561

This Article design a video image acquisition system implementations which is based on ADI Corporation Blackfin561 DSP , using OV7660 CMOS image sensor for the video input source and advanced JPEG2000 image compression algorithm under the operate system of the uClinux. It achieves a video image acquisition, processing and transmission. Test results show that the PC side you can see clearer images.

Design of the Embedded Video Image Monitoring System Based on B/S Mode

Relying on powerful image processing capabilities and special parallel peripheral interface which is based on the ADI Corporation Blackfin561 DSP and using advanced H.264 video compression algorithm under the operate system of the uClinux. The implementation scheme of video image monitoring system based on B/S mode is proposed. By running the web boa server under the uClinux on the BF561 platform, the system realizes the video image acquisition,processing and network transmission.The result shows that the client can see the clearer images through the browser and the system meets the requirements of the remote video monitoring.

Design and Realization Real-time Edge Detection System Based on DM642

This paper introduces the design of a DSP-based video image acquisition and real-time processing system. In this paper, as the main embedded processor TMS320DM642 build real-time edge detection hardware platform. TVP5150PBS video decoder is adopted to acquire video signal and data stream ,and CPLD device is configured for system logic Control, achieve real-time video image acquisition and processing. Experiments show that the system can effectively carry out edge detection, to meet the real-time. The research is supported by the Key Laboratory of Nondestructive Test Ministry of Education. The author appreciates the state natural science fund(60577016), Aero-Science fund (2009ZD56008) and province fund (2009GZW00251).