Python Opencv实战之印章提取的实现

目录

• 前言
• 源码展示
• 效果展示

前言

这期分享的是使用opencv提取印章，很多时候我们需要电子版的章，所以今天就带大家使用代码提取出来！

Photoshop虽然强大，但是奈何小编不会使啊，昨天就有一个小伙伴问我能不能帮忙，这不？

PS虽然我不会，但是我会写代码呀！这可难不倒我！安排安排~

（特别提醒：所有爱好设计和喜欢做图的小伙伴们，切记千万不要帮着老板或者朋友PS伪造公章，刑法第280条特别指出，伪造证件印章，是可以追究刑事责任的，违法的事情不要做哦。）

源码展示

import cv2
import numpy as np

class Seal:
    def __init__(self, img_path):
        """
        初始化图片
        :param img_path: 原始图片路径        """
        self.image = cv2.imread(img_path)
        self.img_shape = self.image.shape
        self.file_name = img_path.split('.')[0].split('\\')[-1]

    def unify_img_size(self):
        """
        统一图片的大小
        :return:返回一张未处理的目标图片        """
        img_w = 650 if self.img_shape[1] > 600 else 400
        self.image = cv2.resize(self.image, (img_w, int(img_w * self.img_shape[0] / self.img_shape[1])), interpolation=cv2.IMREAD_COLOR)
        impng = cv2.cvtColor(self.image.copy(), cv2.COLOR_RGB2RGBA)
        return impng

    def img_binaryzation(self,hue_image, low_range, high_range, imgpng):

        th = cv2.inRange(hue_image, low_range, high_range)
        element = cv2.getStructuringElement(cv2.MORPH_RECT, (1, 1))
        th = cv2.dilate(th, element)
        index1 = th == 255
        print_img = np.zeros(imgpng.shape, np.uint8)
        print_img[:, :, :] = (255, 255, 255, 0)
        print_img[index1] = imgpng[index1]  # (0,0,255)
        return print_img

    def img_www.cppcns.comenhance(self):
        imgpng = self.unify_img_size()
        hue_image = cv2.cvtColor(self.image, cv2.COLOR_BGR2HSV)  # 处理图像色调
        low_range = np.array([130, 43, 46])  # 设下边界
        high_range = np.array([180, 255, 255])  # 设上边界
        print1 = self.img_binaryzation(hue_image, low_range, high_range, imgpng)
        low_range = np.array([0, 43, 46])
        high_range = np.array([9, 255, 255])
        print2 = self.img_binaryzation(hue_image, low_range, high_range, imgpng)
        imgreal = cv2.add(print2, print1)

        white_px = np.asarray([255, 255, 255, 255])
        (row, col, _) = imgreal.shape
        for r in range(row):
            for c in range(col):
                px = imgreal[r][c]
                if all(px == white_px):
                    imgreal[r][c] = imgpng[r][c]
        return imgreal

    def extension_img(self):
        """
        边缘检测，截取并输出结果
        :return:
        """
        imgreal = self.img_enhance()
        # 扩充图片防止截取部分
        print4 = cv2.copyMakeBorder(imgreal, 50, 50, 50, 50, cv2.BORDER_CONSTANT, value=[255, 255, 255, 0])
        print2gray = cv2.cvtColor(print4, cv2.COLOR_RGBA2GRAY)
        _, gr编程客栈ayfirst = cv2.threshold(print2gray, 254, 255, cv2.THRESH_BINARY_INV)

        element = cv2.getStructuringElement(cv2.MORPH_RECT, (22, 22))
        img6 = cv2.dilate(grayfirst, element)

        c_canny_img = cv2.Canny(img6, 10, 10)

        contours, hierarchy = cv2.findContours(c_canny_img, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)
        areas = [YzzERxH]
        for i, cnt in enumerate(contours):
            x, y, w, h = cv2.boundingRect(cnt)
            area = w * h
            ars = [area, i]
            areas.append(ars)
        areas = sorted(areas, reverse=True)
        maxares = areas[:1]

        x, y, w, h = cv2.boundingRect(contours[maxares[0][1]])
        print5 = print4[y:(y + h), x:(x + w)]
        # 高小于宽
        if print5.shape[0] &http://www.cppcns.comlt; print5.shape[1]:
            zh = int((print5.shape[1] - print5.shape[0]) / 2)
            print5 = cv2.copyMakeBorder(print5, zh, zh, 0, 0, cv2.BORDER_CONSTANT, value=[255, 255, 255, 0])
        else:
            zh = int((print5.shape[0] - print5.shape[1]) / 2)
            print5 = cv2.copyMakeBorder(print5, 0, 0, zh, zh, cv2.Bwww.cppcns.comORDER_CONSTANT, value=[255, 255, 255, 0])
        resultprint = cv2.resize(print5, (150, 150))

        cv2.imwrite(r'output\{}_result.png'.format(self.file_name), resultprint)


if __name__ == '__main__':
    s = Seal(r"src\2.jpg")
    s.extension_img()

效果展示

原图

效果图

到此这篇关于python Opencv实战之印章提取的实现的文章就介绍到这了,更多相关Python Opencv印章提取内容请搜索我们以前的文章或继续浏览下面的相关文章希望大家以后多多支持我们！