Fuzzy clustering color image segmentation method based on cuckoo optimization

Abstract

The invention discloses a fuzzy clustering color image segmentation method based on cuckoo optimization. An image to be segmented is input, and color feature is extracted from the image; a cuckoo algorithm is used to optimize a clustering center of a fuzzy clustering algorithm; an improved fuzzy clustering algorithm is used to cluster pixel points in a color space of the image; the clustering center is output, and a membership degree matrix is calculated; and pixels of the image are divided according to the output clustering center and the membership degree matrix, and the image is segmented. An HSV color space which is suitable for sensing of human eyes, the segmentation effect can be improved, an iteration process that the cuckoo algorithm is used to optimize the fuzzy clustering center is provided for overcoming the defect that a traditional fuzzy clustering algorithm tends to fall into the optimum, the operation speed and the convergence speed of the clustering algorithm are improved, the problem that the initial value of the clustering center has much influence on the clustering algorithm, and the clustering effect is good.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a cuckoo optimization-based fuzzy clustering color image segmentation method. Background technique [0002] Image segmentation is a crucial technology in the field of image processing technology, because it is a preliminary step of image processing, and the quality of segmentation directly affects the results of subsequent processing processes, such as feature extraction and target recognition. The scope of image segmentation is more and more extensive, such as communication, military, remote sensing image analysis, medical diagnosis, intelligent public transportation, agricultural modernization and industrial automation, etc., are inseparable from image segmentation. Therefore, whether it is in the field of practical application or academic field, image segmentation is a cutting-edge and significant topic. [0003] For the segmentation of color images, we need to selec...

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Problems solved by technology

[0006] The technical problem to be solved by the present invention is to overcome the problem that the above-mentioned traditional fuzzy clustering algorithm segmentation image technology is greatly affected by the initial point and easily falls into the local optimal value

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