这是应用Matlab编写的Lee滤波实现算法,希望对大家有用!

Program to segmentation picture. To choose are two method, first statistic method, second with using a histogram.

可实现与graph-cuts算法相似的图像分割效果. 他借用了生物形态学知识，将每一个像素视为一个细胞，这些细胞可能是前景，背景，或其他。这些细胞依据其灰度竞争获得生长，由此获得分割。-This algorithm is presented as an alternative to graph-cuts. The operation is very simple, and can be thought of with a biological metaphor: Imagine each image pixel is a "cell" of a certain type. These cells can be foreground, background, undefined, or others. As the algorithm proceeds, these cells compete to dominate the image domain. The ability of the cells to spread is related to the image pixel intensity

本程序是实现灰度处理的方法，通过这种方法计算灰度分割门限，进行图像灰度处理-This program is to achieve gray-scale processing methods, by which method gray-scale segmentation threshold for image gray-scale processing

一些tuxiangchuli 算法 -Some tuxiangchuli some tuxiangchuli algorithm algorithm

figure 4.2a single pluse 3-D uncertainty plot pulsewidth is 2 seconds。 Figure 4.2b. Contour plot corresponding to Fig. 4.2a. Figure 4.2c. Single pulse 3-D ambiguity plot. Pulsewidth is 2 seconds. Figure 4.2d. Contour plot corresponding to Fig. 4.2c. -figure 4.2a single pluse 3-D uncertainty plot pulsewidth is 2 seconds. Figure 4.2b. Contour plot corresponding to Fig. 4.2a. Figure 4.2c. Single pulse 3-D ambiguity plot. Pulsewidth is 2 seconds. Figure 4.2d. Contour plot corresponding to Fig. 4.2c.

这是一个使用域值法编写的图像分割程序，主要是用于学习数字图像处理的同学。-This is a prepared using the threshold method of image segmentation process, mainly for the students to learn digital image processing.

提供对ico图片的编辑功能 您可以自己创作和修改任何ICO文件-Ico images provide editing features you can create and modify any ICO file

先对图像进行开闭滤波，再使用分水岭分割图像，然后使用FCM对初始分割进行聚类，得到最终分割结果，对医学图像效果比较好。-First opening and closing image filtering, re-use watershed segmentation images, then use the FCM clustering of the initial partition, the final segmentation results, the medical image is better.

并行磁共振成像经典算法sense，很不错，对于研究并行磁共振成像绝对有帮助-New theoretical and practical concepts are presented for considerably enhancing the performance ofmagnetic resonance imag-ing (MRI) by means of arrays of multiple receiver coils.

基于神经网络的人脸识别训练函数，非常有用，研究生优秀作品-Face recognition based on neural network training function, very useful, graduate outstanding works