资源列表
signatureSal
- 基于图像签名的显著性区域检测，算法很巧妙，好用-computation of a saliency map based on the Image Signature, as described in the following paper: "Image Signature: Highlighting sparse salient regions", Xiaodi Hou, Jonathan Harel, and Christof Koch,
drsj
- 读入数据并画图。含有源程序等，自己编的代码，可以读出图片个像素的值，并画出直方图。-Read into the data and drawing. Containing source code and so on, own code, you can read out the picture of the value of pixels, and draw the histogram.
peiZhun
- c++builder开发的一个图像配准程序，将一张图片分布在x,y坐标为1的坐标轴上，求任一点的位置。-c++builder developed an image registration process, a picture will be distributed in x, y coordinates of axis 1, find the position of any point.
Computation_of_Mutual_Information
- 【摘要】 基于互信息的配准方法是医学图像配准领域的重要方法。互信息是图像配准中常用的相似性度量,具有鲁棒、精度高等优点,但基于互信息的配准计算量大,制约了它的实际应用。我们采用基于多分辨率和混合优化策略的配准方法,在图像的不同灰度等级数下进行配准,分析了互信息的计算量与灰度等级数的关系,并用人头部的MRI图像和CT图像做了二维的单模模拟实验和多模实际配准实验,结果显示在灰度等级数为32和64时,与灰度等级数为256时相比,配准精度没有明显改变,而计算量下降显著。-Abstract Registr
jpeg-6b
- jpeg编码、解码的c source-jpeg encode and decode c source
matlab_GUI
- 详细介绍了如何使用matlab处理图形图像，让你轻松掌握GUI，清楚如何操作-Described in detail how to use matlab handle graphic images, allows you to easily grasp the GUI clear how to operate
Devil-SDK-1.6.7
- *nix users should read README.unix VisualC users should read README.visualc Cygwin users should read README.cygwin PS: *nix stands for GNU/Linux, *BSD, SunOS/Solaris and perhaps some more.
signatureSal
- 图像特征是稀疏信号的很好表达，使用简单的操作可以对图像进行恢复。此代码可用于用于图像特征的基准。-the image signature is a good descr iptor for sparse signals, which support can be approximately recovered using extremely simple operations. The MATLAB scr ipts for benchmarking of image signature
tessnet2_32
- OCR文字识别 .net2.0版本需要4.0的朋友请到官网重编译(OCR Tesseract is probably the most accurate open source OCR engine available)
mydemo
- GDI图片拖动(GDI picture drag)
envi_hj1a1b_tools V3.3
- 此工具可以直接放在ENVI的安装目录里面，处理HJ1-A的高光谱和多光谱数据！(This tool can be directly placed in the ENVI's installation directory to handle HJ1-A's hyperspectral and multi-spectral data!)
MATLAB图片点的像素坐标
- 基于MATLAB平台下，可获取图片任意点的像素坐标。(Based on MATLAB platform, the pixel coordinates of any point in the picture can be obtained.)