threshold

harris角点检测，并且实现两幅图像特征点的匹配，最终完成图像的拼接(harris corner detection, and realize two image feature point matching, the final completion of image stitching)

采用最大方差阈值分割法，对指纹进行提取。(Using the maximum variance threshold segmentation method for fingerprint extraction.)

无线传感器网络，泛洪算法。每一轮次每个节点向中心节点发送数据。最后的生成图像为节点的死亡数。(Wireless sensor networks, the flooding algorithm. Each round, each node sends data to the central node. The final generated image is the node numbers of death.)

一段很好的图像放大缩小程序，解码后可以运行。(A very good image magnification narrow program, the decoding can run. )

空间域图像处理，图像增强。计算相关，卷积，高斯平滑等滤波图像处理代码。(Spatial domain image processing, image enhancement. Computation, convolution, gaussian smoothing image processing such as filtering code.)

DELPHI编写灰度直方图显示，DELPHI编写灰度直方图显示(DELPHI Writing gray histogram display, DELPHI written grayscale histogram display)

本程序用C语言在LSB上添加水印。最低有效位(LSB)是给这些单元值的一个二进制整数位位置，就是，决定是否这个数字是偶数或奇数。LSB有时候是指最右边的位，因为写较不重要的数字到右边位置符号的协定。它类似于一个十进制整数的最不重要的数字，它是在一个(最右边)位置的数字。(This program in C language to add a watermark on the LSB. The least significant bit (LSB) is a binary integer position to the value of these units, that is, to decide whether this number is even or odd. LSB is sometimes referred to as the rightmost bit, write a less important figure to the right location symbol Agreement. It is similar to the most significant digit of a decimal integer, it is the number in a (far right) position.)

pso粒子群优化算法程序 加了实现模糊功能的新算法,(Pso (particle swarm optimization algorithm program added a new algorithm of fuzzy functions,)

利用多尺度高斯函数去除场景的光照分量；然后构造了一种二维伽马函数，利用光照分量的分布特性调整二维伽马函数的参数，降低光照过强区域的亮度值，提高光照过暗区域的亮度值，最终实现对光照不均匀图像的自适应校正处理。(The multi scale Gauss function is used to remove the illumination component of the scene, and then a two-dimensional gamma function is constructed. The parameters of the two-dimensional gamma function are adjusted by the distribution characteristics of the illumination component, the brightness value of the light illuminated region is reduced and the brightness value of the light dark area is improved. Finally, the adaptive correction of the uneven illumination image is realized. Positive treatment.)

说明：  根据Itti视觉注意模型得到图像的显著区域。本算法简单并且对一般简单的图像能够提取出比较好的显著区域。(According to Itti visual attention model are significant regions in the image. The algorithm is simple and easy on the general good image to extract a significant area.)