SUSAN corner detection is very useful, there is also a detailed description, and...

边缘检测是图像处理和计算机视觉中最为经典和基础的问题之一，在物体识别、匹配、三维重建、图像检索等诸多领域有着重要应用-gfgfg

结合国防十五预研项目“‘3S’集成技术在雷达中的运用研究” 课题的研究，利用某型机载SAR录取的黄河数据对距离-多普勒算法、Chirp-Scaling算法和改进的Chirp-Scaling算法进行了研究。-Combination of 15 pre-research project of national defense

这是一个用mfc编写的能够实现自动关机功能的一个软件。请大家提出批评意见-This is a mfc prepared to use automatic shutdown function of a software. Please criticize the views of U.S.

图形图像处理的简单应用，实现灰度翻转，增亮，等等。-Simple graphics image processing applications, to achieve gray-scale inversion, Zengliang, and so on.

数学形态学的主要优点是计算简单和并行快速，一般只包含布尔运算、加减法运算而不需要做先进乘法，易于硬件实现，-The main advantage of mathematical morphology is to calculate simple and fast parallel, generally contain only Boolean operations, add and subtract operations without the need for the multiplication of advanced, easy hardware implementation,

ptviewsrc ptviewer时开源的360度全景 -open source ptviewsrc ptviewer when 360-degree panorama

对于灰度图的 k均值算法实现 matlab代码-Gray graphics k-means matlab code

这是一个 Vc++程序,但是很容易在 别的平台上实现,因为 主要使用了C语言编写 功能是 用 canny算子进行边缘提取-Vc This is a process, it is easy for other platforms to achieve, The main use of the C language function is canny operator for edge detection

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速度非常块，效果接近blsgsm。堪称去噪的又一突破。 OWT SURE-LET SOFTWARE FOR MATLAB ******************************** Florian Luisier, Thierry Blu and Michael Unser Biomedical Imaging group Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland. March 2007 This software implements the algorithm described in: [1] F. Luisier, T. Blu, M. Unser, "A New SURE Approach to Image Denoising: Interscale Orthonormal Wavelet Thresholding," IEEE Transactions on Image Processing, vol. 16, no. 3, pp. 593-606, March 2007. -Very block, the effect close to blsgsm. Denoising can be another breakthrough. OWT SURE-LET SOFTWARE FOR MATLAB******************************** Florian Luisier, Thierry Blu and Michael UnserBiomedical Imaging group Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland.March 2007This software implements the algorithm described in: [1] F. Luisier, T. Blu, M. Unser,