Segmentation method of natural image in robustness
A natural image, robust technology that can be used in instruments, character and pattern recognition, computer components, etc. to solve problems such as the inability to meet the needs of practical vision processing tasks
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[0022] The robust natural image segmentation process is illustrated in Figure 1. The whole segmentation process consists of seven parts: color bandwidth estimation, filtering, density estimation, local mode detection, local mode fusion, elimination of texture features, and elimination of regions smaller than 100 pixels.
[0023] Specific steps include:
[0024] Step S1, collecting a frame of image to memory;
[0025] Step S2, according to the optimal bandwidth selection method in multivariate non-parametric kernel density estimation, calculate the color bandwidth from the YUV component of the image, and determine the spatial bandwidth according to the upper-level visual task;
[0026] Step S3, performing bilateral filtering on the image;
[0027] Step S4, using the estimated color bandwidth to further estimate the probability density at each pixel;
[0028] Step S5, local pattern detection, on the estimated probability density, use local direct density search method to sear...
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