基于形态学的改进灰度图像边缘检测算法

APPROACH OF IMPROVED EDGE DETECTION FOR GRAY IMAGE BASE ON MORPHOLOGICAL

边缘检测是图像分析和模式识别的主要特征提取手段.为了能更加精确地检测噪声较多的灰度图像,在灰度图像边缘检测算子中引入了数学形态学概念,将数学形态学中的开、闭运算改进为抗噪型开、闭运算.经过Matlab实验验证,该算子能够克服经典算子抗噪性差的缺点,并且易于检测出图像的细节边缘信息,大大降低了运算量,方便计算机识别.为图像识别和分析提供了更加丰富完整的理论依据.

Edge detection is a main medthod of feature extraction in image analyzing and pattern recognition.In order to detect more accurate noise of gray image,introducing a kind of improved morphological image that the operator antinoise edge detection,improve the open and close operation in morphological to be antinoise operation.Through by Matlab experiments validation,this operator can overcome the classic operator which poor in noise concelling,and more easily to image edge details detection,greatly reducing the amount of computation,convenience for computer identification.For image recognition and analysis provides a more abundant and completely theory.