图片灰度拉伸算法代码-灰度拉伸matlab代码-灰度拉伸python代码-图片对比度增强代码-图像直方图拉伸

import numpy as np def clip_linear_gray_scale(raw_img_data,low_fix_percent=0.001,up_fix_percent=0.999): ''' 灰度图动态拉伸。\n raw_img_data：原始的图片数据，像素值取值单位是0-65535。\n low_fix_percent：像素下限截止区间的百分比。\n up_fix_percent：像素上限截止区间的百分比。\n num_bar：直方图的数量 ''' img_max=np.max(raw_img_data) img_min=np.min(raw_img_data) img_range=img_max-img_min if img_range>256: num_bar=256 else: num_bar=128 scale=img_range/num_bar img_flat=np.reshape(raw_img_data,(-1,)) img_hist,bin=np.histogram(img_flat,num_bar) low_id=1 up_id=255 hist_sum=np.sum(img_hist) for i in range(1,num_bar+1): bar_sum=np.sum(img_hist[0:i]) if bar_sum<low_fix_percent*hist_sum: low_id=i if bar_sum>up_fix_percent*hist_sum: up_id=i break fix_min=img_min+scale*(low_id-1) fix_max=img_min+scale*(up_id+1) fix_img=np.clip(raw_img_data,fix_min,fix_max) scale_img=(fix_img-fix_min)/(fix_max-fix_min) dst_img=scale_img*255+0.5 dst_img=dst_img.astype(np.uint8) return dst_img