关键词: 蚕茧分选, 图像采集, 特征识别, 机器视觉, 深度学习

Abstract: The production of silk reeling and weaving in our country has already entered a stage of mechanization and automation. However, cocoon image recognition technology is still in its early stages of research, and there are many technical bottlenecks in its promotion and application. In order to better apply the research of intelligent recognition technology to cocoon sorting work and promote the healthy and efficient development of the silk industry, this article starts from the classification of cocoons and the standards for selecting cocoons, and introduces the current research status and characteristics of cocoon image recognition technology based on color features, shape features and texture features. It summarizes and analyzes the problems of incomplete recognition information, limited recognition types, low recognition accuracy and efficiency in current cocoon image recognition technology research. Suggestions are put forward for conducting research on the establishment of complete silkworm cocoon images, increasing the collection and discrimination of multiple features, and integrating deep learning technology. The development trend of intelligent and efficient silkworm cocoon sorting is also prospected.

Key words: cocoon sorting, image recognition, feature recognition, machine vision, deep learning