摘要
机器人视觉目标图像信噪比低,背景噪声干扰大,目标识别处理通常利用目标的灰度信息进行预处理,由此设计一种基于数学形态学和模糊阈值的灰度图像实时预处理和阈值处理技术图像分割方法。仿真实验表明,该方法实时性好,简捷快速,对目标图像识别有实用价值。
The robot vision target image has low SNR （Signal-to Noise） and high background noise dis- turbance ,therefore the target recognition disposal must make use of the target＇s grey infor- mation, according to this, designs the method of grey chroma on real-time and threshold value disposal image segmentation based on mathematical morphologic and fuzzy thresholding. The emulate experiment shows that this method is brief and fast. It has good real time response and practical value to recognize the image of object.
出处
《现代计算机》
2008年第2期33-35,共3页
Modern Computer
关键词
机器人视觉
图像分割
模糊
Robot Vision
Image Segmentation
Fuzzy Logic
