annMatlab7p2

matlab图形图像处理教程2，我用过，很不错的资料(matlab image processing tutorial 2 graphics, I used, very good information)

提供了matlab的大量数学试验例子，给工程研究研究人员或者，数学建模的学生提供了很好的教程。(Provided a large number of mathematical tests matlab examples, to the engineering studies or research, mathematical modeling provide students with a good tutorial.)

主成分分析法实现了对于多维特征的优化，共两个文件，希望对大家有帮助(failed to translate)

可以地实现偏置码到补码的转换，以函数形式给出(Can achieve bias code to complement the conversion to function given)

随机过程中产生随机数的matlab实现，里面是产生正态、泊松、伯努利的代码和文档，还有对各种随机数的分析(Generate random numbers in the random process matlab to achieve, which is to produce normality, Poisson, Bernoulli code and documentation, as well as analysis of various random number)

关于matlab的一本书，吕梁山编写的matlab与通信仿真的书籍，写的很好，很有参考价值(A book on matlab, matlab Luliangshan written books and communication simulation, well written, useful reference)

IMM滤波算法，使用多次，书写习惯良好！！！其中使用三个模型，匀速、匀加速和转弯！！！欢迎使用！！！

怎样把matlab的gui的m文件生成一个独立运行的文件（.exe）？(matlab gui design of the progress bar, as well as how to interface, examples of beautiful! This is a video tutorial.)

Useful tool for rendering and outputting information rich images(This function can be used in place of IMAGE, IMAGESC and IMSHOW, but does so much more. It is fast and displays images as they should be- correct aspect ratio, integer magnification, no axes. In addition, it can return the image as an output variable- useful for saving to disk, texture mapping surfaces, and post-rendering manipulation such as overlaying/combining two or more images. All the MATLAB built-in colormaps are implemented, but without MATLAB s nasty discretization artifacts. Plus, there are many new colormaps which are helpful for viewing more complex data, such as optic flow, likelihoods over images, difference images, segmentations, stereo image pairs (as anaglyphs) and edge-maps with orientation. It also accepts user defined linear and non-linear colormaps.)

A Gabor-filtering method for describing textural features is proposed, which applies the physical properties of a probability wave to probability transformation, and computes textural features 2) An adaptive strategy for feature and filter selection, and feature weighting, is proposed, which utilizes a user’s relevance feedback to reduce the redundancy in the representation and incorporate the user’s information needs in image retri 3) Integrating both schemes (the Gabor-filtering method and the adaptive strategy) for content-based mammogram retri is suggested