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To keep an intelligent vehicle on the lane in the vision-based navigation, an image processing technology is proposed to detect the lane of a structured road. A way of lane marking recognition arithmetic being acclimated to structuring road is put forward. It makes use of Soble morphology gradient algorithm to coordinate with Hough transform, and we used straight line to reconstruct 2D lane. As the...
The circle detection of an image is a common problem in machine vision. In industrial manufacturing, the circular targets are needed to be identified precisely such as identifying the circuit welding holes. Circular Hough gradient transform is the most common method of circle detection, and a rapid algorithm has been implemented in Opencv2. But the error detecting results will be appeared in our concentric...
In view of the existing situation of manual measurement of garment dimensions, machine vision has been used widely in automatic measurement of garment dimensions. In this paper, adaptive median filter algorithm is adopted to eliminate the garment image noise; a fast fuzzy edge-detection algorithm is used to detect the edge of garment image; and a new corner-detection algorithm based on Freeman code...
Many machine vision applications require manipulation of the acquired image to prepare it for processing. One type of pre-processing operation consists in identifying the areas of interest-or regions of interest (ROIs)-for the image analysis. But in occasions, the image areas to be analyzed may vary from one part to another. This is the case of the automated inspection of headlamp lenses that, due...
In this paper, gear parameters are measured with the machine vision technology, firstly, gear edge is extracted from the gear image using image processing method, secondly, the gear center is set in gear edge image with random Hough transform, four basic gear geometry parameters are identified by their measurement algorithm. And compare with the measured values by the traditional measurement method,...
With the promotion of digital manufacturing, people have higher requirements on the detection system of Intellectualization, Flexibility, and so on. In the mechanical parts processing, people often encountered precision work for deep hole long keyway. Because the uses of different locate mode and attrition of cutting tool, it brings a greater influence to the key slot processing precision. This article...
Dimensional measurement is often required in machinery manufactory industry. Vision-based gauging, as an emerging non-contact metrological instrumentation, can greatly facilitate reliable evaluations for their machinery products. In this paper, such a VGS (Vision-based Gauging System) was implemented for dimensional measurements and its industrial feasibility was verified. Both the systematic performance...
The lower-layer image processing algorithm is the basis of pear on-line automatic grading with machine vision. The edge detection algorithms and edge thinning algorithms of the lower-layer image processing were analyzed and the lower-layer processing algorithm suitable to fruit grading was obtained in the work. The edge detection technique is one of the technologies to display the image contour distinctly...
It is easy to be out of shape and deviation from original location after woven bag with loading. According to the characteristics, a new method is proposed to recognize technology of material bag image based on machine vision. The paper generates and analyzes the depth image of material bag, and the depth value can reflect the distance between material bag and the camera baseline. Through the analysis...
Algorithms designed for machine vision applications such as medical imaging, surveillance, etc., very often require some kind of comparison between images. While the brain can compare complex objects with ease, the same is usually a very difficult task for algorithm designers. Comparison between objects requires a proper definition of a metric that determines the similarity of the objects. This paper...
In this paper few optimal edge detection techniques, used to inspect the over and under fill liquid level of bottle in machine vision system are compared. The text represents the steps and approaches for the inspection of over and under filled level in the bottle which would not only be helpful for quality inspection but in precised time too using different edge detection techniques. The results of...
The Indian spice industry by and large is primitive yet. Screen cleaner and dust removing are the only operations which are being done alone in the industry. Quality assessment of spices is a very big challenge since time immemorial. In addition to inherent and hygienic features quality depends on its physical appearance, moisture content, composition which may be reflected by taste and smell too...
The automatic detection of medical textile stains has always been a hot spot. An automatic detection method is proposed based on machine vision, which can solve the technical difficult problem of automatic detection technique efficiently. The procedure of the textile image processing has been researched, and the emphasis should be put on the image preprocessing and edge extraction. The experiments...
EACWS (Embedded Advance Collision Warning System) is an important part of ITS (Intelligence Transportation System). It is mainly based on monocular vision algorithms, and high-speed DSP processor, real-time to complete front vehicle distance detection, and send out early warning signals to ensure driving safety.
This article presents a methodology that was followed for the design and implementation of a new artificial vision system for the grading of potato tubers. This system uses hardware devices and algorithms used in machine vision applications. This work consists of two main stages. The first stage describes the hardware elements used for image acquisition (lighting, camera and optics) and the algorithms...
Questionnaire survey is one of the important research tools to conduct quantitative information collections. The number of completed questionnaires is usually quite large and sometimes can reach thousands; therefore the data collections become one of the key steps during research. This study set out to find an automatic and vast input method by machine vision, so that the future designs for questionnaires...
Object tracking is one of the major subjects in machine vision and plays a main role in detection of major events in indoor soccer matches. In this paper, a novel approach for tracking the ball and players is proposed. In this method, the ground lines are segmented and eliminated using a fast and effective method. Then, the remaining non-field pixels are considered and labeled as players and the ball...
Neuro-fuzzy (NF) systems are very suitable tools to deal with uncertainty encountered in the process of extracting useful information from images. We present a novel adaptive neuro-fuzzy inference system (ANFIS) for edge detection in digital images. The internal parameters of the proposed ANFIS edge detector are optimized by training using very simple artificial images. The edges are directly determined...
The Indian spice industry by and large is primitive yet. Screen cleaner and dust removing are the only operations which are being done alone in the industry. Quality assessment of spices is a very big challenge since time immemorial. In addition to inherent and hygienic features quality depends on its physical appearance, moisture content, composition which may be reflected by taste and smell too...
In order to improve the measuring speed and accuracy of the surgical instruments inspection, a computer-aided measuring and analysis method was highly needed. The purpose of this study was provide surgical instruments manufactures with a surgical and microsurgical instruments inspection system, so as to ensure that surgical instruments came from assembly lines were manufactured correctly. Software...
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