资源列表
rhbz
- 图像融合指标，综合熵、空间频率、互信息等等，一共7种。在图像处理后的质量评价方面很有用-Fusion index, comprehensive entropy, spatial frequency, mutual information, etc., a total of 7 species. In the image processing is useful for quality assessment
bpandkohonen
- 神经网络源码，可应用于遥感图像的分类，采用的包括bp、kohonen。可以作为范例来学习。-Neural network source code can be used in remote sensing image classification, using the included bp, kohonen. Can serve as examples to learn.
bmpCuter
- 一个处理BMP位图的程序，因为java对bmp位图的支持性不好，没有相关API，所以自己写了一个，主要实现对一张位图的批量切割。因为bmp图的数据结构复杂，所以这个程序也是可以供大家学习的。-A procedure for handling BMP bitmaps, as java support for bmp bitmap is bad, no relevant API, so write a, the main achievement of a bitmap volume cutting.
Visual-CPPimageprocess
- 一个VC++的程序包，内含基于图像处理的计算机集成数控技术，人脸检测系统，图案设计系统，基于卫星通信的牌照自动识别监控系统，运动检测系统，基于图像处理的相机自动调焦系统，细胞识别统计系统，有极重要的参考价值，特别对毕业设计！-A VC++ package that contains an integrated computer-based image processing numerical control technology, face detection systems, pattern
myShow
- 影像匹配，通过相关系数进行影像匹配，获取影像同名点-image matching
GMM-Libraries-for-Matlab
- GMM-GMR!高斯混合模型-高斯混合回归-Gaussian Mixture model-Gaussian Mixture Regression!
High-resolution-SAR-images
- 适用于高分辨SAR图像的全局稳态最小水平集分割方法-High-resolution SAR images for the global steady-state minimum level set segmentation method
LSB
- 数字水印的LSB 数字水印算法，可以对图像进行加密，也可以解密-LSB watermarking digital watermarking algorithm can encrypt the image, you can decrypt
adjcontrast
- 图像预处理中的图像去噪声，滤波器的程序，能把带噪声的图像还原，敬请关注- ADJCONTRAST- Adjusts image contrast using sigmoid function. function g = adjcontrast(im, gain, cutoff) Arguments: im - image to be processed. gain - controls the a
Calculates-cooccurrence-matrix
- 灰度共生矩阵的MATLAB实现，为调用子函数的源码。-GLCM MATLAB implementation of the source code for the subroutine call.
Kalman-filter-in-guidance
- 卡尔曼滤波在制导与导航上的应用例程，希望对大家有用，matlab源代码-Kalman filter in the application guidance and navigation routines, we hope to be useful, matlab source code
ImageProc
- 用VC++实现CT的重建技术，包括bmp图像的读入显示，以及CT反投影法的实现-VC++ implementation with the reconstruction of CT technology, including read bmp image display, and the realization of CT back projection