Visual C++MATLAB图像处理与识别实用案例精选之　图像阈值变换　算法的源程序，含标准测试图片...

在图像处理中，图像融合算法，对初学者很有用！-In image processing, image fusion algorithm is useful for beginners!

显示图像的直方图，图像的点运算，如图像反色、图像的线性变换、灰度拉伸、阀值变换等。-Display image histogram, image point calculations, such as anti-color images, images of linear transformation, gray stretch, transform, such as threshold.

利用matlab做的一个图像处理gui源代码，希望对大家有用。-Using matlab to do a gui image processing source code, in the hope that useful to everyone.

基于小波数字图像处理MATLAB源代码 例如压缩提取 噪声水印提取等-Wavelet-based digital image processing such as compression MATLAB source code extracted watermark extraction, such as noise

图像变换处理源代码。包括平滑、锐化、灰度、增强等。基于VC++6.0编译，无需任何改动。-images transform source code. Includes Smooth, Sharpen, gray and so on. Based on VC 6.0 compiler, without any changes.

实现简单图像处理，包括256色转灰度图、Hough变换、Walsh变换、中值滤波、二值化变换、亮度增减、傅立叶变换、反色、取对数、取指数、图像平移、图像旋转、图像细化、图像缩放、图像镜像、均值滤波、对比度拉伸、拉普拉斯锐化（边缘检测）、方块编码、梯度锐化、灰度均衡、直方图均衡、离散余弦变换、维纳滤波处理、逆滤波处理、阈值变换、高斯平滑。-simple image processing, including color to grayscale 256, the Hough transform, Walsh transform, Median filtering, binary conversion, brightness changes, Fourier transform, and color-from the few to admit index, image shifting, image rotation, refined images, image scaling, image mirroring, mean filtering, contrast stretching, Laplacian sharpening (edge detection), block codes, Sharpening gradient, gray balance, histogram equalization, discrete cosine transform, Wiener filter, reverse filtering, threshold transform, Gaussian smoothing.

读取BMP图象数据的程序 仅供参考-BMP image data read procedure is for reference only

利用matlab对图象进行二维离散变换(Mallat快速算法)-using Matlab for discrete two-dimensional image transform (Mallat fast algorithm)

应用三维重构原理对二维平面图形重建成三维图像。-Application of the principle of three-dimensional reconstruction of two-dimensional graphical reconstruction into three-dimensional image.

详细讲解了三维OBJ格式。OBJ文件简单，易解析，对于初学三维图像处理的人来说值得学习。-Gave a detailed 3D OBJ format. OBJ file is simple and easy resolution, three-dimensional image processing for the beginner who is worth learning.