IMAGE PROCESSING FOR THE AUTOMATED DETECTION OF CRACKS IN SOYBEAN

摘要：

This study was conducted to develop an image processing algorithm for automatic detection of soybean cracks used in a threshing and separation system that could recognize physically damaged soybean seeds. Spatial domain image processing was used to recognize damaged soybean seeds. The performance of the image algorithm was evaluated by comparing the discrimination rates of cracked soybeans. The soybean crack inspection ratio using transmission image analysis had an error ranging from 0.014％ to 0.293％. Therefore, it was predicted that this method of spatial domain image processing would be an effective tool for detecting the cracks in soybean seeds.

关键词： Image processing RGB signal YUV signal Soybean crack

作者: Goo-Bum Kwon Dong-Hoon Lee Yong-Jin Cho Kyou-Seung Lee

作者单位: Major of Bio-Mechatronics Engineering,Sungkyunkwan University,Suwon,Gyeonggi,Korea

会议类型: 国际会议

会议名称: 第三届亚洲精细农业会议暨第五届智能化农业信息技术国际会议

会议地点: 北京

会议语种:英文

页码: 1-6

在线出版日期: 2009-10-14（万方平台首次上网日期，不代表论文的发表时间）