opencv python模糊影像检测效果

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import os

import cv2

import shutil

import sys

# 模糊影像检测函数，阈值默认为0.07

def blurImagesDetection(folder_path, thres=0.07):

    # 新建一个用于存放模糊影像的文件夹

    blurImageDirPath = os.getcwd() + "/blurImages"

    if not os.path.exists(blurImageDirPath):

        os.mkdir(blurImageDirPath)

    # 获取影像文件夹中的影像名列表

    imageNameList = os.listdir(folder_path)

    for imageName in imageNameList:

        # 得到影像路径

        imagePath = os.path.join(folder_path, imageName)

        # 读取影像为灰度图

        img = cv2.imread(imagePath, 0)

        # 缩小影像，加快处理速度

        tiny_img = cv2.resize(img, (400, 300), fx=0, fy=0)

        # 获取影像尺寸

        width, height = tiny_img.shape

        # 计算影像的模糊程度

        blurness = cv2.Laplacian(tiny_img, cv2.CV_64F).var() / (width * height)

        # 如果影像模糊程度小于阈值就将其移动到存放模糊影像的文件夹中

        if blurness < thres:

            print(imageName + "  bulrness:%f   模糊" % (blurness))

            blurImagePath = os.path.join(blurImageDirPath, imageName)

            shutil.move(imagePath, blurImagePath)

        else:

            print(imageName + "  blurness:%f   不模糊" % (blurness))

if __name__ == '__main__':

    # 指定要处理的文件夹路径，sys.argv[1]为第一个参数

    folder_path = os.getcwd()+'/'+sys.argv[1]

    # 调用函数

    blurImagesDetection(folder_path)