资源列表
bmpCompress
- 压缩图像尺寸，采用四点矩阵乘法运算得到当前点的图像颜色。-compressed image size, using 4:00 matrix multiplication is the current point of the color images.
RGBYUV_Pixel_Conversion
- RGBYUV Pixel Conversion，里面有readme.txt文件，请仔细阅读。-RGBYUV Pixel Conversion, There are readme.txt file, read carefully.
Java_JPEG2000_codec
- 用Java写的JPEG2000的编解码程序，含下面三部分：源程序，二进制代码，以及说明文档（JJ2000 项目的共享软件）-use Java to write the JPEG2000 codec procedures, with the following three components : source files, binary code, and documentation (JJ2000 project sharing software)
Elad_super_resolution
- A very useful matlab package on super-resolution.-Matlab package on super-reso lution.
img_process_java
- 图像/视频处理程序，运行命令：java Video processor Canny edge, Gabor texture feature 输入为彩色或灰度图；motion estimation 输入为QCIF序列；the shape processing 输入为二值图像-image / video processing procedures, execute commands : java Video processor Canny edge, Gabor texture feature
edge_det
- 边缘检测源代码，使用Laplacian估计来获得更好的边缘检测效果，结果为BMP位图格式-Edge Detection source code, the use of the Laplacian to better estimate the effects of edge detection, The results of BMP bitmap format
20070325204635566
- JPEG图象解码源代码(Delphi源码).rar-JPEG image decoding source code (Delphi source code). Rar
CCfits-1.6
- CCfits是cfitsio数据库的面向对象的开发平台。cfitsio是应用广泛的FITS(Flexible Image Trandport System)开发数据库。-CCfits cfitsio database is the object-oriented development platform. Cfitsio is widely used in the FITS (Flexible Image Trandport System) development of the database
Reconstruction2
- ct医学图象的重建,包括不同的采样角度和尺寸下的图象重建,可以显示重建后的图象,并进行保存.-ct medical image reconstruction, including the sampling of different angles and dimensions of the image reconstruction, be able to show the image reconstruction, and preservation.
7_17
- 图像处理的很好很实用的例子程序，是基础框架的很好应用-image processing is a good example of the practical procedure is a good basic framework for application
GrayEnhance
- 图像处理毕设中完成灰度增强功能的类的源代码-based image processing Albert Gray completed enhancements to the type of source code
7_18
- 图像分割基础框架程序，经过了进一步的优化和改进，可以更好的实现图像的绘制的处理-image segmentation based on the framework of procedures, after further optimization and improvement, can achieve better picture of the treatment