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import cv2 import numpy as np import os.path import copy # 椒盐噪声 def SaltAndPepper(src, percetage): SP_NoiseImg = src.copy() SP_NoiseNum = int(percetage * src.shape[0] * src.shape[1]) for i in range(SP_NoiseNum): randR = np.random.randint(0, src.shape[0] - 1) randG = np.random.randint(0, src.shape[1] - 1) randB = np.random.randint(0, 3) if np.random.randint(0, 1) == 0: SP_NoiseImg[randR, randG, randB] = 0 else: SP_NoiseImg[randR, randG, randB] = 255 return SP_NoiseImg # 高斯噪声 def addGaussianNoise(image, percetage): G_Noiseimg = image.copy() w = image.shape[1] h = image.shape[0] G_NoiseNum = int(percetage * image.shape[0] * image.shape[1]) for i in range(G_NoiseNum): temp_x = np.random.randint(0, h) temp_y = np.random.randint(0, w) G_Noiseimg[temp_x][temp_y][np.random.randint(3)] = np.random.randn(1)[0] return G_Noiseimg # 昏暗 def darker(image, percetage=0.9): image_copy = image.copy() w = image.shape[1] h = image.shape[0] # get darker for xi in range(0, w): for xj in range(0, h): image_copy[xj, xi, 0] = int(image[xj, xi, 0] * percetage) image_copy[xj, xi, 1] = int(image[xj, xi, 1] * percetage) image_copy[xj, xi, 2] = int(image[xj, xi, 2] * percetage) return image_copy # 亮度 def brighter(image, percetage=1.5): image_copy = image.copy() w = image.shape[1] h = image.shape[0] # get brighter for xi in range(0, w): for xj in range(0, h): image_copy[xj, xi, 0] = np.clip(int(image[xj, xi, 0] * percetage), a_max=255, a_min=0) image_copy[xj, xi, 1] = np.clip(int(image[xj, xi, 1] * percetage), a_max=255, a_min=0) image_copy[xj, xi, 2] = np.clip(int(image[xj, xi, 2] * percetage), a_max=255, a_min=0) return image_copy # 旋转 def rotate(image, angle, center=None, scale=1.0): (h, w) = image.shape[:2] # If no rotation center is specified, the center of the image is set as the rotation center if center is None: center = (w / 2, h / 2) m = cv2.getRotationMatrix2D(center, angle, scale) rotated = cv2.warpAffine(image, m, (w, h)) return rotated # 翻转 def flip(image): flipped_image = np.fliplr(image) return flipped_image # 图片文件夹路径 file_dir = r'D:/desket/gf_test/landslide/landslide/image/' for img_name in os.listdir(file_dir): img_path = file_dir + img_name img = cv2.imread(img_path) # cv2.imshow("1",img) # cv2.waitKey(5000) # 旋转 # rotated_90 = rotate(img, 90) # cv2.imwrite(file_dir + img_name[0:-4] + '_r90.png', rotated_90) # rotated_180 = rotate(img, 180) # cv2.imwrite(file_dir + img_name[0:-4] + '_r180.png', rotated_180) # # 镜像 # flipped_img = flip(img) # cv2.imwrite(file_dir + img_name[0:-4] + '_fli.png', flipped_img) #增加噪声 img_salt = SaltAndPepper(img, 0.2) cv2.imwrite(file_dir + img_name[0:-4] + '_salt.png', img_salt) img_gauss = addGaussianNoise(img, 0.3) cv2.imwrite(file_dir + img_name[0:-4] + '_noise.png', img_gauss) # # 变亮、变暗 # img_darker = darker(img) # cv2.imwrite(file_dir + img_name[0:-4] + '_darker.png', img_darker) # img_brighter = brighter(img) # cv2.imwrite(file_dir + img_name[0:-4] + '_brighter.png', img_brighter) # # blur = cv2.GaussianBlur(img, (7, 7), 1.5) # # cv2.GaussianBlur(图像，卷积核，标准差） # cv2.imwrite(file_dir + img_name[0:-4] + '_blur.png', blur)