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C# 浏览大图片 例子源码

说明：  ① 打开图片文件； ② 实现图像的放大、缩小功能； ③ 实现图像的黑白处理。 (black setting open file)

图像处理方面，用VC++实现的连通区域标记的程序。(Image processing, with VC++ implementation of the procedures connected region markers.)

说明：  利用遗传算法进行图像分割(matlab源码)(The use of genetic image segmentation algorithm (matlab source))

说明：  实现pca主成分分析算法的c语言代码，希望能帮到大家。(Pca principal component analysis algorithm to achieve the c language code, hope to help you.)

立体图像左右视点融合，将左右图像利用LogGabor融合成一幅图像。(Stereo image fusion, the left and right image are fused into an image using LogGabor.)

说明：  一种图像阈值分割算法。能够对图像.sauvola是一种考虑局部均值亮度的图像二值化方法, 以局部均值为基准在根据标准差做些微调.算法实现上一般用积分图方法来实现.这个方法能很好的解决全局阈值方法的短板—关照不均图像二值化不好的问题.(Image threshold segmentation algorithm)

近似熵算法对脑电信号进行特征提取的一些材料(Some materials approximate entropy algorithm for EEG feature extraction)

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. )

著名的角点提取算子Harris算子 非常牛！(Well-known corner extraction operator operator very cattle Harris!)