A Cocoon Counting Method Based on Image Segmentation

Abstract

The invention discloses a silkworm cocoon counting method based on image segmentation. In the silkworm cocoon counting method, the collected silkworm cocoon sample images are preprocessed, and then the preprocessed images are sequentially subjected to K-means clustering, binarization processing, and expansion and erosion, and finally the number of connected regions in the processed image is the number of cocoons. The silkworm cocoon counting method of the present invention successfully separates each silkworm cocoon in the silkworm cocoon sample image, effectively solves the problem of inaccurate counting caused by silkworm cocoon adhesion, and performs binary processing on the clustered image based on the adaptive threshold segmentation algorithm The accuracy of binarization is greatly improved, and then the accuracy of counting results is improved, and the connected region labeling method is used for counting, which greatly improves the accuracy and speed of counting.

Description

technical field [0001] The invention relates to the technical field of silkworm cocoon counting, in particular to a method for counting silkworm cocoons based on image segmentation. Background technique [0002] In the research fields of biomedical engineering, remote sensing technology, military, communication, agriculture and industry in today's society, it is often necessary to count the number of round particles (such as corn, rice and other crop seeds, pills, steel, cells, etc.) to determine the number of target objects. Quantity, to detect the quality of the target object. For example, in medical diagnosis, the number of various cells in human blood is often used to diagnose the health status of the human body; in industry, the count of bundled steel; in agriculture, the germination rate of seeds and the output of grain are counted; in raw silk production, silkworm cocoons are detected The number of cocoons and the cocoon peeling rate of silkworm cocoons are used to d...

AI Technical Summary

Problems solved by technology

[0004] In order to facilitate the correction of actual reeling process parameters, the traditional raw silk production management uses the method of manual regular visual inspection, manual recording and calculation to detect the number of silkworm cocoons in each group of silk reeling equipment. This method has the disadvantages of low efficiency, The shortcomings of heavy workload and poor real-time effect are not conducive to improving the quality of raw silk and reducing labor