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Image diffusion is the underlying machine vision research method, and is frequently used to remove image noise. In this paper, we propose a new kernel function for image diffusion by combining the intervening contour (IC) and the color (C) component, called ICC kernel function, which can smooth inner messy texture while maintaining image structure. The intervening contour is used to ensure the diffusion...
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,...
Canny edge detector is the most popular tool for edge detection and has many applications in the areas of image processing, multimedia and computer vision. The Canny algorithm optimizes the edge detection through noise filtering using an optimal function approximated by the first derivative of a Gaussian. It identifies the edge points by computing the gradients of light intensity function based on...
The key of intelligent infusion system is to detect liquid level of infusion bottle fast and accurately. We proposed an automatic detection algorithm of liquid level of infusion bottle based on image processing, by designing edge detection, binarization, filtering, image projection and motion detection to realize automatic liquid level detection. The algorithm has the advantages of stable noise-resistance,...
This paper presents a new local binocular stereo matching algorithm. A self-adapting matching score is used to measure the dissimilarity of two corresponding pixels. In matching cost aggregation step, we replace the cost of each pixel with the average cost of selected neighboring pixels based on edge pixels information to limit cost aggregation within the same segment, which can preserve the shape...
Edge detection plays an important role in the areas of image processing, multimedia and computer vision. Gradient-based edge detection is a straightforward method to identify the edge points in the original grey-level image. It is intuitive that, in the human vision system, the edge points always appear where the gradient magnitude assumes a maximum. Hexagonal structure is an image structure alternative...
Circle detection and ascertaining its parameters are an important task in computer vision and pattern recognition. The method Hough transform is usually applied in this process, but this algorithm is too complex, slow and needs abundant memory especially when we deal with complicated background image with interferential information. According to the requirement of my research problem, a fast and simple...
Median value filter is used to eliminate or reduce the noise caused by the outside environment. The edge information of road image is enhanced by Sobel operator. And then based on the Otsu method, an effective algorithm is proposed to binary-code the lane image in order to segment and identify road edge easily. Finally, Hough transformation is used to extract the feature of lane and detect the lane...
The Canny edge detector is a very popular and effective edge feature detector that is used as a pre-processing step in many computer vision algorithms. It is a multi-step detector which performs smoothing and filtering, non-maxima suppression, followed by a connected-component analysis stage to detect ldquotruerdquo edges, while suppressing ldquofalserdquo non edge filter responses. While there have...
Watershed algorithm is applied widely to image segmentation for its fast computing and high accuracy in locating the weak edges of adjacent regions. But classical watershed segmentation is sensitive to noise and can leads to serious over-segmentation. Aiming at the limitation of watershed segmentation, this paper presented an algorithm of watershed transformation based on opening-closing operation...
Curve detection is one of the fundamental steps in computer vision applications. Conventional edge detectors provide only an output of edge pixels; curve matching is then needed to fit edge pixels into curves. Despite having achieved some success, it suffers constraints for applications that require real-time and robust image analysis, such as robot vision and video surveillance. Gao and Wang [11]...
Locating the license plate in the image is a key initial step in automatic License Plate Recognition via machine vision. This step becomes more complicated when the image scene is arbitrary (complex) and the view-angle of camera and luminance conditions are not calibrated and constant. In this paper, a new License Plate Detection method in complex scenes is proposed. After removing regions that have...
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