机器视觉测量.pptx

;;;;;;;;;;;;Regional growth is starting from one or some pixels, and finally to the entire region, and then realize the target extraction. Splitting and merging is almost?region growing?The inverse process: from the point of view of the whole image, constantly split sub regions, and then the prospect of regional merger implementation?Target extraction?.?;;;;;;;; This method has been widely used in medical image analysis, such as Xue Jinghao??Proposed a new image based on Fuzzy?divergence?The threshold?algorithm?And it is in multi threshold extension algorithm, using thefuzzy set?Respectively before and after image segmentation, the minimum fuzzy divergence criterion to realize the automatic extraction of the optimal threshold in image segmentation. The algorithm for image segmentation is the requirements of constructing a new fuzzy?membership function?To overcome the influence of the traditional S function, bandwidth on segmentation, versatility and a good effectiveness, segmentation scheme can realize quickly and correctly, and without prior segmentation identification number. Satisfactory results.;;;;;;;;Summary and Prospect;