imnoise2

说明：  Pixel design for H-noise cal; imageJ platform ; test done

k均值聚类，聚为2类，结果显示散点图，红色十字表示聚类中心(K-means clustering, the class number is 2, and the results showed that the clustering center)

BP神经网络图像分类程序,代码很好懂，适合初学者。样本选的不是很大。(BP neural network image classification procedures, code easy to understand for beginners. Sample selected is not great.)

C# 界面皮肤

传统的图像分割方法可以分为基于阈值、边缘、区域的方法等，而传统的分割方法在复杂图像分割中效果不好。为了提高图像分割的性能，我们提出了一种基于局部自适应窗口的Otsu方法。首先，分析了传统阈值法在复杂图像分割中不能很好地形成的原因，比较了全局阈值和局部阈值对图像分割的影响。其次，提出了根据局部信息自适应地改变局部窗口大小的方法，分析了该方法的特点。最后，证明了所提出的新方法优于其他方法。实验结果表明，与其他传统方法相比，该方法能保持更多的细节，获得更满意的结果。(The traditional image segmentation methods can be divided into thresholding, edge and region methods. The traditional segmentation methods do not perform well in the segmentation of complicated images. In order to improve the performance of image segmentation, we propose an adaptive windowed range-constrained Otsu method based on local information.First, the reason why traditional thresholding methods do not perform well in the segmentation of complicated images is analyzed. Therein, the influences of global and local thresholdings on the image segmentation are compared. Secondly, a method of adaptively changing the local window size based on local information is proposed, and the characteristics of the proposed method are analyzed. Finally, the superiority of the proposed method over other methods, It is validated by the experiments that the proposed method can keep more details and acquire much more satisfying results as compared with the other conventional methods.)

实现图像的Contourlet变换，显示图像变换后每一层的图像。(Realize the Contourlet transform of the image , each layer of image is displayed after transform.)

数字全息分区算法模拟，用于从一副同轴全息图中恢复出物体的像(digital holography)

基于meanshift算法最全面的资料收集，是本人长期收集该算法的结晶，里面有均值漂移算法的word文档，PPT资料，基于meanshift的目标跟踪算法（MATLAB），还有相应的文章，下了绝不后悔，将心比心，互惠互利。(Meanshift algorithm based on the most comprehensive data collection, is a long time, I collected the crystallization of the algorithm, which has mean-shift algorithm word document, PPT data, meanshift target tracking algorithm based on (MATLAB), there is a corresponding article, in no way under the regret, Care, and mutual benefits.)

目前已有的手部运动跟踪系统大多在一定程度上限制了人体运动自由. 基于此, 提出一种无线、 可穿戴、 无障碍的腕关节、 指关节运动跟踪系统. 在人体每个手指甲上粘贴一轻小永磁体, 用以产生标示腕关节、指关节运动的信号 若干磁传感器置于手腕处的电子腕带上, 作为标示信号( 磁信号) 检测器. 当腕关节、 指关 节运动时, 永磁体在各传感器所在位置处的合成磁场发生变化, 传感器对该磁场信号进行测量, 所检测到的磁场信号送入手部姿势估计器, 估计器基于系统数学模型计算手部姿势, 从而实现对手部运动的跟踪.(Most of the existing hand movement tracking system to a certain extent limited the freedom of human motion. This paper presents a wireless, wearable, accessible wrist, knuckles motion tracking system. In each fingernail on the human body Paste a light small permanent magnet to produce marked the wrist, referring to the signal of the joint movement the number of magnetic sensors placed in the wrist at the electronic wristband, as marked signal (magnetic signal) detector. when the wrist, knuckles campaign , the permanent magnet in the magnetic field of the sensor location at changes in the sensors of the magnetic signal measurement, the detected magnetic field signal sent from the start with the Ministry of posture is estimated, the estimator based on the mathematical model to calculate the hand position in order to achieve of hand movement tracking.)

利用迭代残差插值的去马赛克算法，进一步减小估计误差，得到更准确的全彩色图像，性能很不错。(Iterative interpolation residuals demosaicing algorithm to further reduce the estimation error, more accurate full-color images, the performance is very good.)