资源列表
scene_text_extraction
- 场景文字检测的一种matlab实现，效果比CCV差，但可提供给研究人员另外一种思路-text detection image, not very good performance
Desktop
- 图像复原 点扩散函数参数估计：len，theta-image restoration Point spread function estimation：len，theta
matlab
- 直方图均衡化的实现，RGB直方图均衡化，直方图归一化。-Histogram equalization to achieve, RGB histogram equalization, histogram normalization.
texiao
- vc++编写的关于图像处理的,图片特效显示，算法通俗易懂,适合初学者-Vc++ written about image processing, image effects, according to the algorithm is easy to understand For beginners
jihebianhua
- vc++编写的关于图像处理的,图片几何变换显示，算法通俗易懂,适合初学者-Vc++ write about image processing, image geometry transform, according to the algorithm is easy to understand, suitable for beginners
Fourier-transform-image
- 编写二维傅立叶变换的C语言程序及相应的显示程序 建立输入图象，在64*64的黑色图象矩阵的中心建立16*16的白色矩形图象点阵，形成图象文件（共4096字节） 对输入图象进行变换，将原始图象及变换图象都显示于屏幕上-The preparation of two-dimensional Fourier transform of C language program and the corresponding display program establish the input image, t
Image-enhancement
- 编写直方图均衡化、线性增强及四点平滑等的C语言程序及相应的显示程序。对指定图象进行直方图均衡化，将原始图象及增强后的图象都显示于屏幕上，比较增强的效果。对指定图象进行线性增强(A2图像，灰度64到192区间扩展到0到255），将原始图象及增强后的图象都显示于屏幕上，比较增强的效果。对指定图象进行四点平滑，将原始图象及增强后的图象都显示于屏幕上，比较增强的效果。对指定图象用3×3模板（八点）进行平滑，将原始图象及增强后的图象都显示于屏幕上，比较增强的效果。对指定图象用不同的3×3加权模板进行平滑，
huidubianhuan
- vc++编写的关于图像处理的,图片灰度变换显示，算法通俗易懂,适合初学者-Vc++ write about image processing, image gray transform, according to the algorithm is easy to understand, suitable for beginners
pinghuachuli
- vc++编写的关于图像处理的,图片平滑处理显示，算法通俗易懂,适合初学者-Vc++ write about image processing, image smoothing, according to the algorithm is easy to understand, suitable for beginners
ruihuabianyuan
- vc++编写的关于图像处理的,图片锐化边缘检测显示，算法通俗易懂,适合初学者-Vc++ write about image processing, image sharpening, according to the edge detection algorithm is easy to understand, suitable for beginners
tuxiangfenge
- vc++编写的关于图像处理的,图片图像分割显示，算法通俗易懂,适合初学者-Vc++ write about image processing, image display, image segmentation algorithm is easy to understand, suitable for beginners
xingtaixue
- vc++编写的关于图像处理的,图片形态学显示，算法通俗易懂,适合初学者-Vc++ write about image processing, image morphology, according to the algorithm is easy to understand, suitable for beginners