资源列表
visual-saliency
- 基于全局对比度的显著性检测算法，已经测试通过，可以运行。-Based on significant global contrast detection algorithm has been tested, you can run.
xiaoboyuzhi
- 小波变换用于图像去噪可以很好的解决物体的点奇异特性，本算法采用各种阈值函数对图像进行去噪，里面包含测试图像和峰值信噪比-Wavelet transform for image denoising can solve the body good point singularity, the algorithm used for image denoising threshold function, which contains the test image and the peak signal
bicubic_interpolation
- 该代码用于实现双三次插值，它作为一种复杂的插值算法，可以获得比双线性插值更平滑的图像边缘，效果更好。-The code used to implement bi-cubic interpolation, as a complex interpolation algorithm can obtain smoother edges than bilinear interpolation of the image, the better.
hypersonic-target-model
- 通过对高超声速目标各阶段分析，能够实现够高超声速目标的飞行轨迹。-Through the analysis of the hypersonic objectives in each stage, the flight trajectory can achieve enough hypersonic target.
image-processing
- 内有操作说明： 操作说明.docx 加噪：高斯、椒盐等 去噪：小波、高斯、维纳及频域上的滤波（频率可调） 压缩：JPEG、小波、PCA、位平面、FFT、DCT 以上功能都集成在了GUI界面内-There are instructions: instructions docx plus noise: Gaussian, salt and pepper and other de-noising: wavelet, Gaussian, and Wiener filter in the
siftDemoV4
- 加拿大University of British Columbia 大学计算机科学系教授 David G. Lowe发表于2004年Int Journal of Computer Vision,2(60):91-110的那篇标题为“Distivtive Image Features from Scale -Invariant Keypoints" 的论文。其程序代码即为上传代码，已经经过本人测试通过。-the code for Distivtive Image Features from Sca
Inverse-and-WipeRed
- MFC对BMP格式的图像反白及去红功能。-Inverse and WipeRed。
GISA
- 一种求解lp范数正则化约束的稀疏表示方法-Sparse representation method for solving LP norm regularization constraint
JSEG
- c语言写的jseg分割算法。不仅源程序可读性强，而且里面有现成软件可以用。-c language jseg segmentation algorithm. Not only readable source code, but there are ready-made software can be used.
HUOFUBIANHUAN111
- 本程序是用于霍夫变换的改进算法的研究，有配图，共两个文件，分别是改进前与改进后-This procedure is used to improve the study of the Hough transform algorithm, there with pictures of the two documents, namely the pre-improvement and improvement
source_code_TBM_activecontours.tar
- 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
image-enhancement
- matlab实现的数字图像处理之图像增强。 附件共包括25个文件，采用不同方法实现了图像增强的目的。 1、通过调整对比度实现图像增强 2、通过直方图均衡化实现图像增强 3、调整图像灰度范围 4、gamma校正 5、有限对比自适应直方图均衡化 等-Digital image processing of image enhancement matlab realize. 25 including attachment of fil