摘要
针对粘连大米图像分割中轮廓的凹点检测问题,提出了一种基于脉冲耦合神经网络(PCNN)和harris角点检测结合的方法。该文简要介绍了基于脉冲耦合神经网络的图像分割、harris角点检测算法。首先对采集的图像进行PCNN图像分割将目标和背景分割;然后提取分割后的粘连大米轮廓,并进行高斯平滑;再根据平滑后的轮廓曲线进行harris角点检测,识别准确的凹点。
Aiming at the problem of concave points detection about boundary in touching rice image segmentation,a method based on pulse coupled neural network and harris corner detection is proposed.This paper briefly introduces the image segmentation of pulse coupled neural network and harris corner detection algorithm.Firstly,PCNN image segmentation is performed on the acquired image to segment the target and the background;Then,to extract the contour of touching rice after segmentation and performe Gaussian smoothing;Last,according to the smoothed contour curve,harris corner detection is performed to identify accurate pits.
作者
樊蒙蒙
秦淑英
杨红卫
Fan Meng-meng;Qin Shu-ying;Yang Hong-wei
出处
《电子质量》
2019年第1期30-33,共4页
Electronics Quality
