说明：  《Visual C++数字图像获取、处理及实践应用》杨枝灵、王开等编著。内容：第4章 图像增强（对比度增强、灰度变换法、直方图修整法、图像平滑、图像锐化、伪彩色和假彩色增强）；第5章 图像复原（逆滤波复原、维纳滤波方法）；第6章 图像处理中的正交变换（傅立叶变换、离散余弦变换（DCT）、沃尔什变换、基于特征向量的变换、霍特林（Hotelling）变换、SVD变换、小波变换、Mallat算法）；第7章 图像压缩编码（霍夫曼（Huffman）编码、算术编码、游程编码（Run Length Coding）、位平面编码、预测编码、DPCM、JPEG 2000编码）；第8章 图像配准 第9章 目标检测与运动检测 第10章 图像形状特征分析（骨架检出、轮廓提取）；第11章 图像分割（边界跟踪、阈值分割区域生长、分裂合并、Canny算子）；第12章 图像的模式识别
("Visual C++ digital image acquisition, processing and practical application," Yoji Ling, WANG Kai, eds. Contents: Chapter 4, image enhancement (contrast enhancement, gray level transformation, histogram trimming, image smoothing, image enhancement, false color and false color enhancement) Chapter 5 Image restoration (inverse filtering restoration, Wiener filter ) Chapter 6 Image Processing orthogonal transformation (Fourier transform, discrete cosine transform (DCT), Walsh transform, feature vector-based transform, Hotelling (Hotelling) transform, SVD transform, wavelet transform, Mallat algorithm ) Chapter 7 image coding (Huffman (Huffman) coding, arithmetic coding, RLE (Run Length Coding), bit plane coding, predictive coding, DPCM, JPEG 2000 encoding) Chapter 8 image registration section 9 Target Detection and Motion Detection Chapter Chapter 10, Image Shape Analysis (skeleton detection, contour extraction) Chapter 11 of the image segmentation (boundary tracking, segmentation, r)