sphit-128-4

用C++编写的实现GVF的活动轮廓模型的提取，值得你参考(Extracted with implementations written in C++ GVF active contour models, it is worth your reference)

【实例简介】

利用visualC++和图像处理的知识，编写程序对果蔬进行自动识别(Using visualC++ and image processing knowledge, write a program for automatic identification of fruits and vegetables)

图相多描述编码matlab仿真 多描述编码的matlab仿真，本科生的毕业设计 生成图像后计算psnr >> J=imread( 两描述都收到后重建的图像.bmp ) PSNR(I,J) ans = 32.3290 >> J=imread( 描述1重建后的图像.bmp ) >> PSNR(I,J) ans = 28.7011 >> J=imread( 描述2重建后的图像.bmp ) >> PSNR(I,J) ans = 29.1467 (Figure phase multiple description coding matlab simulation Matlab simulation of multiple description coding, undergraduate graduation design Generated images calculated psnr >> J = imread ( the reconstructed image after the two descriptions are received. Bmp ) >> PSNR (I, J) ans = 32.3290 >> J = imread ( to describe a reconstruction of images. Bmp ) >> PSNR (I, J) ans = 28.7011 >> J = imread ( to describe two reconstruction images. Bmp ) >> PSNR (I, J) ans = 29.1467)

采用harris角点特征完成图像拼接，包含特征点的选取以及最终拼接后的结果输出(Harris corner feature complete image stitching, contains the feature points selected and the resulting output after final stitching)

说明：  一种基于粒子滤波的测向定位跟踪算法，一种基于粒子滤波的测向定位跟踪算法。(A particle filter based on the finding and location tracking algorithm, a particle filter based on the finding and location tracking algorithm.)

一种像素级指纹方向场估计算法以及对应的像素级奇异点检测算法。(A pixel-level orentation field estimation algorithm and the corresponding singular point detection method.)

可逆数字水印算法 Article (2009-Sachnev-IEEE_J_CASVT-989) Sachnev, V. Kim, H. J. Nam, J. Suresh, S. & Shi, Y. Q. Reversible Watermarking Algorithm Using Sorting and Prediction #IEEE_J_CASVT#, (Reversible watermarking Article (2009-Sachnev-IEEE_J_CASVT-989) Sachnev, V. Kim, H. J. Nam, J. Suresh, S. & Shi, Y. Q. Reversible Watermarking Algorithm Using Sorting and Prediction#IEEE_J_CASVT#, 2009, 19, 989-999 )

说明：  SAR回拨模拟及CS算法成像，参考书：合成孔径雷达成像原理（皮亦鸣）(CS algorithm for SAR call-back simulation and imaging, reference books: Synthetic aperture radar imaging principle (PI Yi-ming))

以混合高斯模型为基础，利用背景差分法获得目标图像并有阴影检测的方法进行目标检测(The Gaussian mixture model based on the use of the background difference method to obtain the target image and a shadow detection method for target detection)