Because the image edge protection ability is poor, and image during transmission is particularly vulnerable to the noises caused by the image edge problems such as fuzzy defects. To solve the problem that traditional edge detection algorithm has low resolution, the paper puts forward a mathematical morphology color image edge detection algorithm. First, we use expansion, corrosion, open and close transform, and their combinations to give the improved morphological type of noise edge detection operators according to the different structure elements of the scale of the size and structure types, which effectively inspects the complete image edge information and keeps the image edge smooth. The simulation experiment results show that the improved algorithm can effectively extract accurate edge information, and also has very strong ability to anti-noise for the image edge detection.%研究彩色图像边缘检测准确性问题,因图像边缘保护能力较差,且图像在传输过程中特别容易受到噪声的干扰,造成了图像边缘模糊等问题缺陷.针对传统边缘检测算法存在的边缘分辨率较低的问题,提出了数学形态学彩色图像边缘检测改进算法.首先将采用数学形态四运算,膨胀、腐蚀、开、闭等变换以及组合,并根据不同的结构元素的尺度大小和结构元类型,给出了一种改进型形态学抗噪型边缘检测算子,有效地检测出完整的图像边缘信息,并保持图像边缘的平滑性.仿真实验结果证明,改进的算法能有效提取准确的边缘信息,且又具有很强的抗噪性,为图像边缘检测提供了参考.
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