基于空间复杂度掩盖的边缘检测算法

通常边缘检测算法仅仅考虑到图像本身信息,而未考虑人眼对规则图像的感知能力比对非规则图像更强。结合人眼的视觉特性,本文提出了一种基于空间复杂度掩盖的边缘检测算法。给出了一种空间复杂度的测度以及双门限机制,利用图像空间复杂度来体现图像的规则程度,并根据图像的纹理信息矫正图像的梯度方向,确定边缘宽度,准确定位空间复杂度的计算区域。实验结果表明,本文提出的算法可以有效地检测规则图像的边缘,抑制复杂纹理区域的边缘。因此,该算法更符合人眼的视觉特性,有利于复杂情况中信息的提取。

An Edge-detection Algorithm Based on Spatial Activity Masking

Based on the characteristics of human vision, an edge-detection algorithm based on masking the image with the spatial activity is presented. Edge-detection algorithms usually deal with the image's original information without the characteristics of human eyes, more powerful perceiving ability on regular images than the other parts. In this paper, methods for measuring the spatial activity and a double-thresholds mechanism are proposed. The regular extent is represented using the spatial activity and the masking area of the spatial activity is located accurately by correcting gradient direction and determining edge widths. The results show that this algorithm effectively detects edges of regular images and depress the edges of the others. So, this algorithm is more consistent with characteristics of human vision and beneficial to information extraction under complex condition.