资源列表
prog
- 软阈值降噪方法,详细介绍了软阈值的工作过程，-the method of soft Threshold
Image-Processing
- this regarding the introduction to digital image processing-this is regarding the introduction to digital image processing
Make_Save_Copy
- 介绍了基于ｖｃ＋＋和ｏｐｅｎｃｖ的图片生成处理和保存-Introduction based on vc++ and opencv generated picture of the treatment and preservation
templaterecognize
- 这是一个基于模板匹配的手写体数字的识别程序，运行正常-This is a template matching based on handwritten numeral recognition procedures, operating normally
image-yuandaima
- 使用灰度图像对各种去噪方法进行测试，使用半软阈值方法对图像进行去噪，均值滤波方法进行去噪(对比用)，计算灰度图像的峰值信噪比。-Use grayscale images on a variety of methods of noise attenuation test, using a semi-soft threshold method for image denoising, denoising mean filtering method (Comparative), calculate t
dirac-0.5.0.tar
- 各种 yuv422 yuv420 yuv411 等合适到 rgb 之间的转换以及 rgb 到bmp bmp到 rgb 之间的转换.
imgmosaic
- Matlab 实现的图像拼接 LM算法校正 手动选取特征点-Matable
digital-image-conversion
- matlab实现数字图像读取及图像表示方式转换，可以对数字图像的表示方式及各种表示方式之间的转换有所了解。-matlab digital image reading and image representation conversion, you can representation of digital images and the transitions between various representations understand.
denoise
- 小波去噪是一个信号滤波的问题，而且尽管在很大程度上小波去噪可以看成是低通滤波，但是由于在去噪后还能成功地保留信号特征，所以在这一点上又优于传统的低通滤波器-Is a signal wavelet denoising filtering problem, and despite the large wavelet denoising can be regarded as a low-pass filter, but since the denoised signal characteristics
poker
- 这是本人做的本科毕业设计，被评为优秀毕业论文，用matlab编写的基于图像处理的纸牌识别系统-This is I do undergraduate course graduation design, evaluated the outstanding graduate thesis, with matlab based on image processing the card identification system
harris
- 一个检测角点的matlab程序，对于规则和轮廓清晰的图片检测效果良好，模糊图片效果差一些，为完整代码-Detection of corner points of a matlab program rules and clear-cut for image detection works well, fuzzy picture of some poor results for the complete code
70099729wavelet_denoise
- 利用小波算法实现图像去噪，包含软硬阈值去噪，中值，均值滤波等，内含图片灰度与彩色实例。以及代码文件说明、(The wavelet algorithm is used to denoise the image, including the soft and hard threshold de-noising, the median, the mean filtering and so on, including the image gray and color examples. And code