文件名称:Grayscale-Morpholog
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传统高原鼠兔图像边缘检测方法存在对噪声敏感、大量边缘细节被过滤、检测的边缘不连续、模糊等问题。为此,将基于数学形
态学的边缘检测方法应用到高原鼠兔图像的边缘检测中。利用数学形态学的腐蚀和膨胀算法,构造适合高原鼠兔图像几何性质的结构元素,
对图像进行检测。实验结果表明,该方法具有较好的边缘检测效果-Traditional plateau pika image edge detection methods exist sensitive to noise, a lot of edge detail is filtered, edge detection is not continuous, fuzzy and other issues. For this purpose, will be applied to the edge detection of plateau pika image edge detection method based on mathematical morphology. Using mathematical morphology erosion and dilation algorithms construct suitable plateau pikas image geometric properties of structural elements, the image is detected. Experimental results show that the method has a better edge detection
态学的边缘检测方法应用到高原鼠兔图像的边缘检测中。利用数学形态学的腐蚀和膨胀算法,构造适合高原鼠兔图像几何性质的结构元素,
对图像进行检测。实验结果表明,该方法具有较好的边缘检测效果-Traditional plateau pika image edge detection methods exist sensitive to noise, a lot of edge detail is filtered, edge detection is not continuous, fuzzy and other issues. For this purpose, will be applied to the edge detection of plateau pika image edge detection method based on mathematical morphology. Using mathematical morphology erosion and dilation algorithms construct suitable plateau pikas image geometric properties of structural elements, the image is detected. Experimental results show that the method has a better edge detection
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基于灰度形态学的高原鼠兔图像边缘检测.pdf