资源列表
thinningimage
- Python/Cython实现的Zhang-Suen图像骨架提取算法,骨架提取效果较好,轮廓比较平滑,信息丢失较小,推荐。 使用Cython编译后可以达到接近C语言的效率。 -Python/Cython achieved Zhang-Suen image skeleton extraction algorithm, skeleton extraction better, smoother contours, less information is lost, it is recommen
nii
- 将MRI图片转换成NII格式,以便医生判断选取ROI是否正确-change MRI pictures to nii style
ShapeTest
- 用于识别物体形状的源码,基于VS2010和OPENCV2.4.9,对于具体的物体可以通过调整参数识别-Used to identify the object in the shape of the source code, based on VS2010 and OPENCV2.4.9, for a specific object can by adjusting the parameters identification
0808gbvs
- GVBS视觉注意力模型图像处理算法,用于提取图像显著性区域-GVBS visual attention model image processing source code for extracting significant image area
add_noise
- 能够实现高斯噪声、瑞利噪声、伽玛噪声、指数噪声、椒盐噪声和均匀噪声的添加-Gaussian noise and Rayleigh noise can be implemented, gamma, index of noise and salt and pepper noise and uniform noise added
regionGrow
- 基于种子点8-领域的区域生长算法,程序运行后,会弹出一个包含原图像的窗口,用户可以用鼠标在其中选取一个种子点并下“Enter”键,之后会出现分割结果-Region growing algorithm based on seeds point 8- field, after the program is running, will pop up a window contains the original image, in which the user can use the mouse to
bianyuanjiance
- 采用四种算子对cameraman.tif进行边缘检测-Using the MATLAB software development platform, four kinds of operators are used to detect the edge of cameraman.tif.
face-alignment-in-3000fps-master
- 基于机器学习的人脸识别算法,对face-alignment-in-3000fps-master的简单实现-Face recognition algorithm based on machine learning, for face-alignment-in-3000fps-master simple implementation
ROFdenoise
- 经典的 Rudin-Osher-Fatemi模型进行图像去噪,附带文档内容为此模型的数值分析过程,比较详细,适合初学者-Classic Rudin-Osher-Fatemi model denoising, the including documentation is the numerical analysis process of the model in detail, suitable for beginners
BmpToJpg
- 将bmp图像格式转换为jpeg,支持灰度以及三通道图像-Convert bmp image format jpeg, support the gray and three-channel image
dicomTobmp
- 将无损压缩的DICOM文件转换为BMP图像,目前只能支持单帧的DICOM转换-The lossless compression of DICOM files into BMP images, currently only supports single-frame DICOM conversion
GUI
- 图像灰度变换,灰度直方图,灰度图像二值化-Gray transform, histogram, gray image binarization
