一种基于边缘流的图像分割算法及其应用

Edge flow-based image segmentation and its application

基于边缘流的图像分割算法以方向相反的边缘流相遇的位置确定对象的边缘,解决了传统基于边缘的图像分割算法难以确定合理阈值的问题.论述了基于边缘流图像分割算法的原理,对该算法进行了调整,将其应用于昆虫图像的分割.实验结果表明:基于边缘流的算法不仅能够有效地分割出图像中的昆虫对象,而且对昆虫对象的各个部分还能进行较为有效地分割.与传统的基于阈值分割算法相比是更好的图像分割算法,促进了计算机视觉技术在农林业领域的应用,促进了计算机视觉技术在农林业领域的应用.

Edge flow-based image segmentation algorithm is to detect edges of object through the location where the edge flows point each other, which solve the problem of determine suitable threshold in traditional edge-based image segmentation algorithms. Therefore, the principle of edge flow based image segmentation algorithm is introduced and the algorithm is modified for image segmentation of insects. The experimental results shown that the algorithm not only segment whole insect object effectively but also segment different parts of one insect. Comparing traditional edge based image segmentation algorithm the algorithm is better, research, accelates the applitheion vision technology to agriculture and forest field.