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视觉注意机制一种新型的目标检测方法，该文给出了一种比较有效的处理策略(Visual attention mechanism to target a new detection method, the paper gives a more effective treatment strategies)

本压缩包有canny算子的源程序代码和测试图片。(The archive has canny operator of the source code and test images.)

说明：  利用c++实现的PCA算法，直接对数据进行处理，适合初步学习(C++ implementation using PCA algorithm to process the data directly)

说明：  将物体用一堆点框出来，实际先初始化一堆点，然后迭代靠近物体边缘最终框出物体。(The object is framed with a pile of points. In fact, first initialize a pile of points, then iterate close to the edge of the object, and finally frame the object.)

无监督分类方法，包括kmeans，som和fcm，非常好用(Unsupervised classification methods, including kmeans, som and fcm, very easy to use)

实验证明，本方案对于帧间位移较为明显的单个平移运动刚体，特别是外部轮廓较为平滑的物体具有良好的分割与跟踪效果。(experiment proved that the program for the inter-frame displacement is quite obvious that the single translation rigid movement, particularly smooth external contours of objects more good segmentation and tracking results.)

现对图像进行边缘提取，然后利用霍夫变换提取图像中的圆环(Is image edge extraction, and then extracted using Hough transform image circle)

舌像的梯度提取，然后进行分水岭分割，最后进行邻近区域合并，得到舌体图像。(tongue-image s watershed segmentation based on its gradient change.)

适用于Matlab的图像拼接，图形配准等(Matlab applied to the image mosaic, image registration, etc.)

局部投影去噪 自己编的 调试已经成功 拿来给大家借鉴 对象是混沌信号(Local projective denoising their own series of debugging has been successfully brought to everybody' s reference object is a chaotic signal)