MATLAB_image_process_with_PDE

本工程在C6678上实现了BMP图像的读取，滤波，锐化等操作。可以作为多核DSP图像处理的资料，自己在CCS6平台上测试验证没有问题(This project has realized the reading, filtering and sharpening of the BMP image on C6678. It can be used as a multi-core DSP image processing data, and to test validation on the CCS6 platform)

干涉SAR图像配准程序，matlab编的，很好用！(Interferometric SAR image registration procedures, matlab, and easy to use!)

读取一24位彩色图像，计算其以下图像特征： 1）灰度直方图 2）颜色直方图（RGB3个通道） 3）方向梯度直方图（HOG，将图像分成4*4 16个块，8个梯度方向） (Read a 24-bit color images, calculate the following image features: 1) Histogram 2) color histogram (RGB3 channels) 3) histogram of oriented gradients (HOG, the image is divided into 4* 4 16 blocks, 8 gradient directions))

主动轮廓模型结合一个特殊的显著性方法实现目标分割(using active contour with a special salient detction modle to segment an image )

杭州电子科技大学acm题库中的1097的代码,如果有人需要拿去！()

说明：  克里金算法2.0版本，对二维插值有详细的工具箱(kriging algorithm V2.0 for matlab )

二阶B样条小波边缘检测 处理后的图像为多尺度下的边缘检测图像 还需要进行边缘图像的匹配(Second-order B-spline wavelet edge detection image processing for multi-scale edge detection to the edge of the image also need to match image)

实验图像数据曲线描绘刻画，进行数据拟合：高斯拟合，平滑处理(gaussian nihe)

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.)

可见光波长和颜色的对应生成代码，可以保存问为图片(Corresponding to the wavelength of visible light and color to generate code that can be saved to ask for the picture)