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7主动轮廓模型的一种初始轮廓设定方法.PDF(An initial outline of seven active contour model setting method)

详细介绍了常用的四中粒子重采样算法,并给出了他们的性能比较,对研究改进型粒子算法很有帮助,减轻很多工作负担(Details of the four commonly used particle resampling algorithm, and gives the performance of their comparison, the study of modified particle algorithm useful to reduce the burden of a lot of work)

小球沿斜线运动,可以扩展到其他程序中，第一次上传，谢谢。(a ball along with a line.)

本书主要讲述如何使用Visual C++进行数字图像处理。全书对常用的数字图像处理算法进行了介绍。(This book focuses on how to use Visual C++ digital image processing. The book is commonly used digital image processing algorithms were introduced.)

说明：  图像预处理，灰度化，滤波，将图像输入后经过算法得到灰度图，然后进行后续一系列转化，拟合圆和椭圆曲线(Image preprocessing, graying, filtering)

说明：  基于小波变换的水下图像目标检测论文加matlab实现代码(Wavelet-based underwater image target detection papers plus matlab code)

基于matlab的色差图像分割程序，可以实现复杂背景下的图像分割。(Matlab based on the color image segmentation procedure, the complexity can be achieved in the context of image segmentation.)

说明：  在图像处理中如何进行视频处理，如何从yuv格式的序列中提取出亮度信息，这是后面对视频处理的基础。(In image processing for video How to deal with how to format yuv sequence information extracted brightness, this is the basis of the face of video processing.)

混合高斯模型提取视频帧前景背景图像，经试验验证准确率比较高(Mixed gaussian model to extract video frame prospects background image)

针对分水岭算法存在的过分割问题以及VCH-F1切片图像的特点，提出一种能够有效消除局部极小值和噪声干扰的自动分割方法。首先比较彩色分量梯度图，选择分量图像的梯度信息，达到有效提取图像边缘信息的目的；然后提出基于多阈值分割的方法消除无效梯度信息；最后介绍了算法的步骤及结果。实验结果证明，通过该方法处理的梯度图像再进行分水岭算法处理，即使不进行区域合并也能达到很好的效果。(Watershed algorithm for over-segmentation problem of the existence of VCH-F1 as well as the characteristics of the image slice, a can effectively eliminate the local minimum value and noise automatic segmentation method. Comparing the first color component gradient map, select the quantity of image gradient information, achieve an effective extraction of image edge information purposes then made based on multi-threshold segmentation method to eliminate invalid gradient information Finally introduce the steps of the algorithm and results. Experimental results show that the adoption of the method of treatment of gradient watershed algorithm for image re-treatment, even if there is no regional merger will also achieve good results.)