摘要
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Arnold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。
Introduces the application of MatLab in digital image processing such as image enhancement, image edge detection, image space transform, image transform in frequency domain etc., takes Arnold scrambling transformation as an example, discusses the application of image space transform processing in MatLab, takes discrete cosine transform as an example, discusses the application of image frequency transform in MatLab.
出处
《现代计算机》
2008年第5期66-68,78,共4页
Modern Computer
