http://www.iotword.com/6625.html Webtest = calcGrayHist(src); return 0;} Mat calcGrayHist(const Mat& img) {CV_Assert(img.type() == CV_8UC1); Mat hist; int channels[] = { 0 }; int dims = 1; const int histSize[] = { 256 }; …

GitHub - aLIEz1/chapter5: 数字图像处理第五章

Web当γ=1\gamma=1γ=1时，图像不变。. 如果图像整体或者感兴趣区域较暗，则令0≤γ<10\le \gamma \lt 10≤γ<1可以增加图像对比度；相反图像整体或者感兴趣区域较亮，则 … Webdef calcGrayHist(image): ''' 统计像素值 :param image: :return: ''' # 灰度图像的高，宽 rows, cols = image.shape # 存储灰度直方图 grayHist = np.zeros ( [ 256 ], np.uint64) for r in range (rows): for c in range (cols): grayHist [image [r] [c]] += 1 return grayHist image = cv2.imread ( 'p2.jpg', cv2.IMREAD_GRAYSCALE) grayHist = calcGrayHist (image) # … resolution adopting inclusive language notice

【3】python-opencv3教程：图像的对比度增强（线性变化，直方 …

WebgrayHist = calcGrayHist(image) x_range = range(256) #对 x,y绘制为线条 plt.plot(x_range, grayHist, 'r', linewidth=2, c='black') y_maxValue = np.max(grayHist) #设置xy轴的范围 plt.axis([0, 255, 0, y_maxValue]) # 设置坐标轴标签 plt.xlabel('gray Level') plt.ylabel('number of pixels') # 显示直方图 plt.show() 2.5 指纹断点连接处理 #边缘断裂连接 WebgrahHist = calcGrayHist (image) x_range = range (256) plt.plot (x_range,grahHist,'-',linewidth= 3,c='k') #设置坐标轴的范围 y_maxValue = np.max (grahHist) plt.axis ( [0,255,0,y_maxValue]) #设置标签 plt.xlabel ('gray Level') plt.ylabel ("number of pixels") #显示灰度直方图 plt.show () 运行结果 线性变换### 线性变换的公式为： \ [O (r,c)=a*I … WebContribute to SatelliteYuan/learning development by creating an account on GitHub. protin mathieu