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In order to realize the leading role of machine vision in intelligent cargo handling of the robot, a fusion method of visual image edge detection based on wavelet transform and mathematical morphology is proposed. That wavelet transform is used for image edge detection exists missing detection, smoothness and weak edge problem. So an improved method needs to be studied, in which a wavelet transform...
Partial discharge (PD) is the initial sign of power capacitor insulation failure, and an effective extraction and analysis method of PD signal in power capacitor can improve the effectiveness of the on-line fault monitoring. The method which based on wavelet threshold denoising and mathematical morphology alternate mixing filter is put forward in this paper. First, the PD signal which includes noise...
In order to overcome the traditional Otsu algorithm weakness in the complex image segmentation, a new segmentation algorithm was introduced in this paper to detect the surface defect of parts, which applied with morphology and wavelet transform into the Otsu algorithm. There were two steps in the algorithm, one was segmentation target from the background and the other was segmentation defect from...
The methods of image edge detection based on the differential, wavelet transform and image morphology are introduced in the paper. Differential operator edge detection method is based on the edge of the adjacent regions' boundary that is not continuous with the gray, using derivative to detect the edge, Wavelet transform edge detection is by means of selecting the appropriate wavelet function to make...
An improved edge detecting algorithm based on mathematical morphology and wavelet transform is proposed to overcome the limitation which embarrasses the performance of the traditional mathematical morphological methods. In the wavelet domain, the low-frequency sub-image edges are detected by solving the maximum points of local wavelet coefficient model to restore edges, while the high-frequency sub-image...
This paper proposes a new fog images clarity algorithm which is based on the combination of wavelet transform, top-hat transform and bottom-hat transform. This algorithm also processes the sky region separated out. Experimental results demonstrate that the contrast and clarity of images are much improved after they are processed by the algorithm proposed in this paper, and it effectively reduces the...
A de-noising method using wavelet transform and morphology for low light level image is presented. The intensity of noise field is different from the intensity of normal image region, which has reduce the quality of vision and after works of image processing such as segmentation, feature extraction and identification. Since there are a number of noises in low light level image, this paper did some...
A simple and efficient edge detection algorithm based on wavelet transform and morphology is proposed. Combined with dyadic wavelet transform and image gradient calculation, the smoothing filter operators are introduced. Then to the non-uniform illumination problem, a local thresholding, which determines the edges, can be constructed by the algorithm of maximization of between-class variance (Otsu??s...
A vehicle detection algorithm was proposed based on the morphology and wavelet transform, in the context of the traditional difference. First, the background model was established, using statistical means of the rapid sequence. As background to transform the impact of light obviously, the corresponding easy and quick to update the background algorithm was used. Using the background of the video images...
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