基于帧差法与Vibe算法的matlab前景提取代码

说明：  多边形裁剪是逐次多边裁剪法，它的基本思想是以窗口的四条边界线单一逐次对多边形裁剪(polygon clipping is Successive multilateral cutting, its basic idea is a window four successive boundaries of a single polygon clipping)

MC算法实现CT医学图像的三维重建，面绘制技术(MC algorithm CT medical image reconstruction, surface rendering technology)

基于上下文注意的显著区域检测，附件包括代码和英文文章。(Context-Aware Saliency Detection. The file includes the paper and the source code in matlab.)

MCA 图像分解,适用于初次基础图像分解的新手，亲测可用，希望对大家有帮助(MCA image decompositon)

说明：  用于SAR图像的相干斑抑制，内有增强Lee滤波，增强Kuan滤波，增强GammaMap滤波算法，还有等效视数，边缘保持指数的求法(For speckle suppression of SAR images, there are enhanced Lee filtering, enhanced Kuan filtering, enhanced GammaMap filtering algorithm, and the calculation of ENL and EPI.)

Invensense公司的modm实例代码example。 初始化以及IIC的引用示例。(The example of modm from Invensense. IIC initiation and configuration initiation.)

一个简单的图像处理中粗糙度和方向度的MATLAB编程实现，已经通过调试，无误可用(A simple image processing in the direction of roughness and degree of MATLAB programming, has been through debugging, accurate available)

SPIHT的图像压缩算法源代码。可以针对128×128的图像进行压缩(SPIHT image compression algorithm source code. 128 × 128 image compression)

对图像做spca有监督的主成分分析降维，并投影回图像来降噪，在本程序中，使用正弦函数控制图像变化，函数值作为监督信息(Image do spca supervised principal component analysis dimension reduction, noise reduction and projected back images)

SIFT，即尺度不变特征变换（Scale-invariant feature transform，SIFT），是用于图像处理领域的一种描述。这种描述具有尺度不变性，可在图像中检测出关键点，是一种局部特征描述子。[1] 该方法于1999年由David Lowe[2] 首先发表于计算机视觉国际会议（International Conference on Computer Vision，ICCV），2004年再次经David Lowe整理完善后发表于International journal of computer vision（IJCV）。截止2014年8月，该论文单篇被引次数达25000余次。(SIFT, namely Scale Invariant Feature Transform (Scale-invariant feature transform, SIFT), it is a description for image processing. This description has scale invariance, can detect critical point in the image, it is a local feature descriptor. [1] The method in 1999 by David Lowe [2] First published in the International Conference on Computer Vision (International Conference on Computer Vision, ICCV), 2004 was again perfect finishing after David Lowe published in the International journal of computer vision (IJCV) . As of August 2014, the paper cited the number of times a single article of more than 25,000 times.)