摘要
对传统的边缘检测算子进行了分析,指出了存在的不足;同时针对目前的纹理分析算法普遍存在计算复杂、运行时间过长的缺点,通过将纹理分析的思想和传统的边缘检测算子相结合,提出了一种基于灰度共生矩阵的边缘检测新方法。该方法对图像进行纹理分析后自适应地选择模板,因此很好地保持了图像边缘的细节并且抑制了噪声。通过MATLAB仿真实现,结果表明由灰度共生矩阵产生纹理特征能有效地描述火焰的纹理特征,具有较好的鉴别能力。
This article has carried on the analysis to the traditional gradient operator,and pointed out the existed drawback;At the same time,in view of the current texture analysis algorithm for ubiquitous complex compute and long operation time,through the combination of the texture analysis thought with the traditional gradient operator,the paper has proposed a new method of edge detection based on the gray level co-occurrence matrix.This method has maintained picture edge detail perfectly and noise restrained,because it has used the auto-adapted mask.The MATLAB simulation results show that the gray level co-occurrence matrix generated by the texture features can effectively describe the texture characteristics of fire with good differentiation.
出处
《智能计算机与应用》
2012年第6期43-45,共3页
Intelligent Computer and Applications
关键词
灰度共生矩阵
边缘检测
纹理分析
梯度算子
Gray Level Co-occurrence Matrix
Edge Detection
Texture Analysis
Gradient Operator
