ikmeans

实现图像文件（如bmp等）的读取、显示、真彩图转换成灰度图、灰度图转化为二值图及绘制图像直方图功能。(Achieve an image file (such as bmp, etc.) to read, display, true color conversion to grayscale, converted to grayscale and binary image histogram function to draw the image.)

用来将一个指纹图片切成指定像素大小的片段，并将计算他的方向场和系数(Used to cut a fingerprint image into the specified pixel size pieces, and calculates the direction of the field and the coefficient )

C#写的绘图板，功能还不错。实现了直线，矩形，圆形，填充矩形，填充圆形。可拖动图形位置，可改变矩形大小，可放大缩小，可输入文字，打开图片，拖动图片，可撤销。(C# to write the drawing board, features well. Implementation of linear, rectangular, circular, filled rectangle, filled circle. Can drag the graphic location, can change the rectangle size can be enlarged or reduced, can enter text, open the image, drag the image may be revoked.)

数字图像处理的非常面全的图片，包含有各种格式的和大小的。(there are many kids of images that used to digitial image pricessing,including lena,boat,cman images)

自己写的用开闭眼模板法判断一个眼睛的开闭状态，前提是需要去定位眼睛(Wrote it myself with open eyes closed, a template method to determine the state of opening and closing the eyes, the premise is the need to positioning the eyes)

说明：  基于标记的分水岭算法，弥补了传统分水岭算法存在的过分割问题。(Marker-based watershed algorithm makes up for the over-segmentation problem of traditional watershed algorithm.)

说明：  非局部去噪算法-nonlocal denoise 源码(Non-Local Denoising Algorithm-nonlocal denoise source)

可以实现对交通视频中运动车辆的检测和目标的提取，只需要稍作修改即可使用(You can achieve the target detection and extraction of moving vehicles in traffic video, you only need minor modifications to use)

说明：  给定受感染红细胞图片，自动判定受感染红细胞数目(Given the picture of infected red blood cells, the number of infected red blood cells can be determined automatically.)

针对粒子概率假设密度(PH D)滤波算法在虚警、漏检情况下，b标状态估计不稳定和b标可观测性车弱的问题，提出了一种基于序贯融合的粒子PH D滤波方法，利用雷达和红外传感器多目标进行融合跟踪杏基本思想是先对红外传感器进行粒子PH D滤波，丙将红外传感器滤波结果作为雷达的预测值，然后利用P达观测的数据进行更新，这样通过雷达和红外传感器交替上作保证目标状态的可观测性，从滤波器输出结身即可得到目标的状态信息仿真结果表明，在虚警、漏检和密集目标环境下，该方法是有效的和稳健的(The problem of target state estimation instability and observability weakerin the presence offalse alarms and missed detection was deal with. On the basis of sequential fusion, a particleprobabil- ity hypothesis density(PHD) filter for multrsensor multrtarget tracking was proposed. Observed da to collected from the infrared sensor was estimated with the particle PHD filter. Then the results from the filter were set as the radar predicted value by the radar observations. The multrtarget state can be updated to guarantee observing the target state. In this way, the global state is updated at the fusion center. Simulation results show that the proposed algorithm is effective and robust under the false warning, omission and concentrated target environment. )