Python Star23 This repository contains projects related to various aspects of image processing, from basic operations to advanced techniques like active contours. Examples and case studies focus on applications in medical imaging. edge-detectionerosionhough-transformdigital-image-processingdilationnon-maximum...
# 需要导入模块: from skimage import morphology [as 别名]# 或者: from skimage.morphology importdilation[as 别名]defsmooth_edge(self, data):smoothed_label = data['label'].copy()forzinrange(smoothed_label.shape[0]): temp = smoothed_label[z].copy()foridxinnp.unique(temp):ifidx !=0: bin...
Generate a trimap (foreground, background, and unknown regions) from an input of binary (mask) image Foreground has a pixel value of 255; background has a pixel value of 0; and unknown has a pixel value of 127 In this example, the trimap is generated by extending a binary image of a...
GPUImage - 设置图像扩展边缘彩色模糊 GPUImageRGBDilationFilter- GPUImage 共 125 个滤镜, 分为四类 1、Color adjustments : 31 filters , 颜色处理相关 2、Image processing : 40 filters , 图像处理相关. 3、Blending modes : 29 filters , 混合模式相关. 4、Visual eff
image processing is a procedure for modifying the geometric structure in the image. In morphism, we find the shape and size or structure of an object. Both operations are defined for binary images, but we can also use them on a grayscale image. These are widely used in the following way...
示例2: nlbin ▲点赞 7▼ defnlbin(im, threshold=0.5, zoom=0.5, escale=1.0, border=0.1, perc=80, range=20, low=5, high=90):""" Performs binarization using non-linear processing. Args: im (PIL.Image): threshold (float): zoom (float): Zoom for background page estimation ...