摘要
充分分析了储粮昆虫图像分割在图像模式识别中的必要性,然后提出一种基于数学形态学的改进的图像分割方法。与一般的将物体从背景中分割出来的分割方法不同,这种基于数学形态学的改进的图像分割方法,不仅可以将储粮昆虫的足和触角分割出来,而且很好的保留了各个部分的边缘细节特征。
In this paper we analyzed the necessity of image segmentation in stored food beetle recognition. An image segmentation method based on mathematical morphology is put forward, which is different from any other way of segmenting objects from the background. This method can segment the beetle's feet and antennas from the body and reserves every part's characters in detail, especially on the edge. The results of the test with this method show the effectiveness of this method in segmenting stored food beetle's feet and antennas from the body.
出处
《武汉工业学院学报》
CAS
2004年第1期94-96,共3页
Journal of Wuhan Polytechnic University
关键词
储粮昆虫
图像模式识别
数学形态学
图像分割
stored food beetle
image pattern recognition
mathematical morphology
image segmentation
