我编写的教学用的图象处理实验指导书和VC源码，详细内容看指导书。此外辅助程序可以把一个彩色图象转变为灰度图象，因为实验内容主要是处理灰度图象的；并且辅助程序是基...

细胞粘连分割算法，采用vc++6.0编译环境，能够实现粘连细胞图像的分割，算法具有一定的参考价值。-Cell adhesion segmentation algorithm, using vc++6.0 to compile the environment, to achieve adhesion cell image segmentation, the algorithm has a certain reference value.

计算图像的均方差 绝对误差 以及自熵或自信息量的函数 -Calculating the image mean absolute error variance, as well as the amount of information from the entropy of a function or self

通过此算法选取出来的阈值非常理想，对各种情况的表现都较为良好。虽然它在很多情况下都不是最佳的分割，但分割质量通常都有一定的保障，可以说是最稳定的分割。由上可知，大津算法是一种较为通用的分割算法。-Through this algorithm to select the threshold by the very satisfactory performance of the various situations are relatively good. Although in many cases it is not the best partition, but the quality of segmentation is usually a certain degree of protection, it can be said is the most stable partition. From the above we can see that Otsu algorithm is a segmentation algorithm is more generic.

C编写的图象处理程序，包括如图象打开，显示，存储，镜像，滤波等图象处理技术，非常适合初学者。-C prepared by image-processing procedures, including such as the image open, display, storage, mirroring, filtering, image processing technology, is ideal for beginners.

多光谱TM图像与SPOT全色图像的融合处理-TM multi-spectral images with the SPOT panchromatic image fusion treatment

图象gabor变换的matlab代码，含有3种gabor变换的代码-Image gabor transform matlab code, contains three kinds of gabor transform code

利用小波变换技术图像融合方法从模糊图像中恢复图像，并给出结果-Using Wavelet Transform Image Fusion technology of fuzzy images from the resumption of images, and gives results

数字图像处理中的图像细化算法程序-digital image processing algorithm to the image thinning procedures

用VC语言开发了一个直方图均衡的程序，对于采集到的直方图数据可以实时进行均衡化-use VC to simulate

一个SIFT特征检测的VC程序，SIFT特征检测在目标检测与识别中非常有用！-a physiology of the VC feature detection procedures, Detection characteristics of metabolism in target detection and identification is very useful! -SIFT feature detection of a VC program, SIFT feature detection in the target detection and recognition is very useful!-a physiology of the VC feature detection procedures, Detection characteristics of metabolism in target detection and identification is very useful!