北京网站优化对策,网站开发培训排名,中国现任领导名单简介,做网站时怎么裁切存图1、天际线简介 天际线#xff08;SkyLine#xff09;顾名思义就是天空与地面的边界线#xff0c;人站在不同的高度#xff0c;会看到不同的景色和地平线#xff0c;天空与地面建筑物分离的标记线#xff0c;不得不说#xff0c;每天抬头仰望天空#xff0c;相信大家都可…1、天际线简介 天际线SkyLine顾名思义就是天空与地面的边界线人站在不同的高度会看到不同的景色和地平线天空与地面建筑物分离的标记线不得不说每天抬头仰望天空相信大家都可以看到它的的确确客观存在美丽值得欣赏。
2、Python代码
#-*- coding:utf-8 -*-
import sys
from os.path import exists
import cv2
import numpy as npdef getImage(height, width, channels):image np.zeros([height, width, 3], np.uint8) # 三通道顺序是BGR# 三层循环逐个修改像素点for row in range(height):for col in range(width):for c in range(channels):image[row, col, c] 0return imagedef isWhite(pixel_value, threshold): #阈值可以取10、20、30、50、100res Falseif pixel_value[0] threshold and pixel_value[1] threshold and pixel_value[2] threshold: # 10、10、10 50、50、50 这里是天空和地面楼山的分界线需要调参res Truereturn resdef isPureWhite(pixel_value):res Falseif pixel_value[0] 255 and pixel_value[1] 255 and pixel_value[2] 255: # 3|3|3 10、10、10res Truereturn resdef getRowNumberSpecificCol(image, col):res_row -1height, width image.shape[0:2]if col 0 and col width:for row in range(0, height):pv image[row][col]if(pv[0] 0 and pv[1] 0 and pv[2] 0):res_row rowbreakreturn res_rowdef getEnhancedEdgeImageFromEdgeImage(edge_Image):edge_SrcImage edge_Imageheight, width edge_SrcImage.shape[0:2]for col in range(1, width):for row in range(0, height):pixel_value edge_SrcImage[row][col] # 计算红绿蓝三波段的平均值if isPureWhite(pixel_value):r_last getRowNumberSpecificCol(edge_SrcImage, col - 1)if r_last:if row r_last:minR, maxR r_last, rowfor k in range(minR, maxR):edge_SrcImage[k][col - 1][0] 255edge_SrcImage[k][col - 1][1] 255edge_SrcImage[k][col - 1][2] 255else:minR, maxR row, r_lastfor k in range(minR, maxR):edge_SrcImage[k][col][0] 255edge_SrcImage[k][col][1] 255edge_SrcImage[k][col][2] 255# cv2.imshow(Enhanced-edge-image, edge_SrcImage)return edge_SrcImagedef getFileExtensionname(filename):res .pngdot_index -1for i in range(len(filename), 0):if filename[i] .:dot_index ibreakif dot_index ! -1:res filename[dot_index: len(filename)-1]return resif __name__ __main__:origin_pic_filename D:/test.pngsky_ground_threshold 30isDownSampling Falseif (len(sys.argv) 1):print(sys.argv[0])origin_pic_filename elif(len(sys.argv) 2):origin_pic_filename str(sys.argv[1])elif(len(sys.argv) 3):origin_pic_filename str(sys.argv[1])sky_ground_threshold int(sys.argv[2])elif (len(sys.argv) 4):origin_pic_filename str(sys.argv[1])sky_ground_threshold int(sys.argv[2])if(int(sys.argv[3]) 1):isDownSampling Trueif origin_pic_filename ! and sky_ground_threshold 0:print((输入图片文件名为{0}).format(origin_pic_filename))print((天空地面分界灰度阈值为{0}).format(sky_ground_threshold))suffix_name getFileExtensionname(origin_pic_filename)print((后缀名为{0}).format(suffix_name))srcImage cv2.imread(origin_pic_filename)inputSrcImage srcImageif isDownSampling:inputSrcImage cv2.pyrDown(inputSrcImage)height, width inputSrcImage.shape[0:2]print((高度{0}, 宽度{1}).format(height, width))cv2.namedWindow(downsampling-image, cv2.WINDOW_AUTOSIZE)cv2.imshow(downsampling-image, inputSrcImage)Sobelx cv2.Sobel(inputSrcImage, cv2.CV_64F, 1, 0)Sobely cv2.Sobel(inputSrcImage, cv2.CV_64F, 0, 1)Sobelx cv2.convertScaleAbs(Sobelx)Sobely cv2.convertScaleAbs(Sobely)# cv2.imshow(sobel-x-Abs, Sobelx)# cv2.imshow(sobel-y-Abs, Sobely)Sobelxy cv2.addWeighted(Sobelx, 0.5, Sobely, 0.5, 0)cv2.namedWindow(sobel-xy, cv2.WINDOW_AUTOSIZE)cv2.imshow(sobel-xy, Sobelxy)edgeImage getImage(height, width, 3)for col in range(0, width):for row in range(0, height):pixel_value Sobelxy[row][col] # 计算红绿蓝三波段的平均值if isWhite(pixel_value, sky_ground_threshold):edgeImage[row][col][0] 255edgeImage[row][col][1] 255edgeImage[row][col][2] 255breakcv2.namedWindow(edge-image, cv2.WINDOW_AUTOSIZE)cv2.imshow(edge-image, edgeImage)cv2.imwrite(origin_pic_filename.replace(suffix_name, -ZGetEdge.png), edgeImage)enhanced_edgeImage getEnhancedEdgeImageFromEdgeImage(edgeImage)cv2.namedWindow(enhanced-edge-image, cv2.WINDOW_AUTOSIZE)cv2.imshow(enhanced-edge-image, enhanced_edgeImage)cv2.imwrite(origin_pic_filename.replace(suffix_name, -EnhancedEdge.png), enhanced_edgeImage)for col in range(0, width):for row in range(0, height):pixel_value enhanced_edgeImage[row][col] # 计算红绿蓝三波段的平均值if isPureWhite(pixel_value):if row2 height:inputSrcImage[row2][col][0] 0inputSrcImage[row2][col][1] 0inputSrcImage[row2][col][2] 255else:inputSrcImage[row][col][0] 0inputSrcImage[row][col][1] 0inputSrcImage[row][col][2] 255# inputSrcImage[row][col][0] 0# inputSrcImage[row][col][1] 0# inputSrcImage[row][col][2] 255# break #最开始从每列遍历从上到下找第一个分界点就停止才用breakcv2.namedWindow(RedEdge-image, cv2.WINDOW_AUTOSIZE)cv2.imshow(RedEdge-image, inputSrcImage)cv2.imwrite(origin_pic_filename.replace(suffix_name, -RedEdge.png), inputSrcImage)cv2.waitKey(0)cv2.destroyAllWindows()print(Success!)cv2.waitKey()cv2.destroyAllWindows()3、运行结果 test.jpg下载
3.1 非下采样边缘检测
python GetSkyLine.py test.jpg 100原始图片 边缘点图片 边缘增强图片 sobel-xy处理后图片 downloadsampling图片 红色边缘叠加图片
3.2 下采样边缘检测
python GetSkyLine.py test.jpg 50 1原始图片 边缘点图片 边缘增强图片 downloadsampling图片 sobel-xy处理后图片 红色边缘叠加图片 4、小结 在这个人世间每个人都是独立的个体身处浩荡洪流之中难免身不由己时而坚定时而困惑但我们还是应该永远相信美好的事情终将发生要心怀一颗感恩的心相信家人相信自己相信未来坦然面对生活接受平凡。 关关难过关关过前路漫漫亦灿灿
