- 授权协议: BSD
- 开发语言: Objective-C
- 操作系统: iOS
- 软件首页: http://code.google.com/p/simple-iphone-image-processing/
- 软件文档: http://code.google.com/p/simple-iphone-image-processing/w/list
软件介绍
这是 iPhone 上一个简单的图像处理库。支持的图像操作包括:
- Canny edge detection - http://en.wikipedia.org/wiki/Canny_edge_detection
- Histogram equalisation - http://en.wikipedia.org/wiki/Histogram_equalisation
- Skeletonisation - http://en.wikipedia.org/wiki/Topological_skeleton
- Thresholding, adaptive and global - http://en.wikipedia.org/wiki/Thresholding_(image_processing)
- Gaussian blur (used as a preprocessing step for canny edge detection) - http://en.wikipedia.org/wiki/Gaussian_blur
- Brightness normalisation - http://en.wikipedia.org/wiki/Normalization_(image_processing)
- Connected region extraction - http://en.wikipedia.org/wiki/Blob_extraction
- Resizing - uses interpolation
示例代码:
// convert to grey scale and shrink the image by 4 - this makes processing a lot faster!
ImageWrapper *greyScale=Image::createImage(srcImage, srcImage.size.width/4, srcImage.size.height/4);
// do a gaussian blur and then extract edges using the canny edge detector
// you can play around with the numbers to see how it effects the edge extraction
// typical numbers are tlow 0.20-0.50, thigh 0.60-0.90
ImageWrapper *edges=greyScale.image->gaussianBlur().image->cannyEdgeExtract(0.3,0.7);
// show the results
resultImage.image=edges.image->toUIImage();
MATLAB在数学建模中的应用
卓金武 编 / 北京航空航天大学 / 2011-4 / 34.80元
《MATLAB在数学建模中的应用》从数学建模的角度介绍了MATLAB的应用。《MATLAB在数学建模中的应用》的4位作者均具有实际的数学建模参赛经历和竞赛指导经验。书中内容完全是根据数学建模竞赛的需要而编排的,涵盖了绝大部分数学建模问题的MATLAB求解方法。 《MATLAB在数学建模中的应用》内容分上下两篇。上篇介绍数学建模中常规方法MATLAB的实现,包括MATLAB交互、数据建模、程序......一起来看看 《MATLAB在数学建模中的应用》 这本书的介绍吧!
