摘要
阈值法是图像分割的一种重要方法 ,在图像处理与识别中广为应用 .本文提出了基于灰度 -梯度共生矩阵模型和最大熵原理的灰度图像的自动阈值化技术 ,该方法不仅利用了图像的灰度信息 ,而且也利用了图像的梯度信息 .该方法通过计算基于灰度 -梯度共生矩阵的二维熵并使边缘区域的熵最大来选择阈值向量 .
Thresholding is an important form of image segmentation and is used in the processing of image for many applications. In this paper, we present an automatic technique for thresholding of digital images based on gray level gradient co occurrence matrix and the maximum entropy principle. This method attempts to utilize the information of both gray level and gradient in an image, the present approach evaluates two dimensional entropies based on the gray level gradient co occurrence matrix. The 2D threshold vector that maximizes the edge class entropies is selected. It is found that the proposed approach performs better by comparing the results with those of one dimensional entropic methods.
出处
《小型微型计算机系统》
EI
CSCD
北大核心
2002年第2期136-138,共3页
Journal of Chinese Computer Systems
