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文件名称:Application_of_MatLab_in_Digital_Image_Processing.
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介绍利用MatLab实现图像增强的3种常用方法：灰度直方图均衡化、灰度变换、平滑与
锐化滤波等，探讨利用MatLab提供的系列算子实现图像边缘检测的方法．以Amold置
乱变换为例，探讨MatLab在图像空间变换处理中的应用，以离散余弦变换为例探讨
MatLab在图像频域变换处理中的应用。-Describes the use of MatLab implementation of the three kinds of commonly used image enhancement methods: histogram equalization, gray transformation, filtering, smoothing and sharpening to explore the use of MatLab to provide a series of operators for image edge detection method. Amold scrambling to transform, for example, explore the MatLab in the image space transformation processing applications to explore the discrete cosine transform, for example MatLab frequency-domain transform in the image processing applications.
锐化滤波等，探讨利用MatLab提供的系列算子实现图像边缘检测的方法．以Amold置
乱变换为例，探讨MatLab在图像空间变换处理中的应用，以离散余弦变换为例探讨
MatLab在图像频域变换处理中的应用。-Describes the use of MatLab implementation of the three kinds of commonly used image enhancement methods: histogram equalization, gray transformation, filtering, smoothing and sharpening to explore the use of MatLab to provide a series of operators for image edge detection method. Amold scrambling to transform, for example, explore the MatLab in the image space transformation processing applications to explore the discrete cosine transform, for example MatLab frequency-domain transform in the image processing applications.
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Application_of_MatLab_in_Digital_Image_Processing.pdf
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