椭圆Butterworth滤波器

数字图像处理中常用的灰度平衡算法，VC编写，包含完整源代码与实例图片，很实用-Commonly used in digital image processing of gray-balancing algorithm, VC preparation that contains complete source code and examples of pictures, very useful

针对图像的噪声，进行平滑去噪，中值滤波，邻域平均法，还有产生椒盐噪声和随机噪声。取自《vc++图像处理程序设计》第5章-Against the image noise, denoising smoothing, median filtering, neighborhood averaging method, as well as generate Salt and pepper noise and random noise. Retrieved from " vc++ image processing program design," Chapter 5

粒子滤波 该程序适合初学粒子滤波的人看 用粒子滤波跟踪了一个状态变量-Particle filter for the process of learning people will look at particle filter with a particle filter to track the state variables

图像细化算法的代码,可以快速提取图象的基本骨架-source code for image thinnig, and it can extract the basic sketlon of images, fastly.

非常全面的生物信号分析工具包，能够详细分析信号时域频域、相位等特性，针对于生物信号有良好效果。-an excellent signal processing toolbox, it could give a detailed analysis on time series, frequency and phase. it is really useful on biomedical signal processing.

corner detection 角点检测的详细程序，也许对于你检测目标有辅助作用-corner detection angle detection of the procedures in detail, perhaps for your testing objectives supporting role

这个是彩色图像分割方法。与RegionExtract采用的方法不同。 首先rgb转换成hsv，对h分量进行直方图分割，得到直方图的峰值和峰谷。利用得到的峰值和峰谷进行区域分割，这样会得到很多的小区域，对这些小区域进行区域合并，区域合并的终止条件是：区域一致性距离在某个固定的阀值之间，比如20或者在某个自适应阀值（该阀值自动计算）。注意：区域合并在luv空间进行。-This is a method for color image segmentation. With the different methods used RegionExtract. First rgb convert hsv, components of the h histogram segmentation, the histogram peak and peak and valley. Utilization of the peak and peak-valley regional partition, it would receive many of the small area of these small regional regional merger, regional merger termination conditions are: the regional consistency of the distance between a fixed threshold, such as 20 or in a self-adaptive threshold (the threshold automatically calculated). Note: regional merger in luv space.

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.

如图像显示，文章中的代码可以很好的消除图像绘制产生的锯齿。主要方法是通过曲线跟踪，而不是一个个图形的绘制-Such as image display, the article in the code can be very good resulting from the elimination of image rendering serrated. The primary means of tracking through the curves, rather than a graphics rendering

边缘检测是图像处理和计算机视觉中最为经典和基础的问题之一，在物体识别、匹配、三维重建、图像检索等诸多领域有着重要应用-gfgfg