职高网站建设知识点,国家免费技能培训有哪些,山东平台网站建设哪里有,手机网站排名优化软件文章目录 图像的放大与缩小缩放算法题目放大 图像的翻转图像的旋转仿射变换之图像平移仿射变换之获取变换矩阵仿射变换之变换矩阵之二OpenCV透视变换 图像的放大与缩小 缩放算法 # -*- coding: utf-8 -*-
import cv2
import numpy as npimg cv2.imread(E://pic//4.jpg)
# (600… 文章目录 图像的放大与缩小缩放算法题目放大 图像的翻转图像的旋转仿射变换之图像平移仿射变换之获取变换矩阵仿射变换之变换矩阵之二OpenCV透视变换 图像的放大与缩小 缩放算法 # -*- coding: utf-8 -*-
import cv2
import numpy as npimg cv2.imread(E://pic//4.jpg)
# (600, 480, 3)new_img cv2.resize(img, (300, 240))
new_img2 cv2.resize(img, (300, 240), interpolationcv2.INTER_AREA)cv2.imshow(new_img, new_img)
cv2.imshow(img, img)
cv2.imshow(new_img2, new_img2)key cv2.waitKey(0) 0xff
if key ord(q):cv2.destroyAllWindows()# -*- coding: utf-8 -*-
import cv2
import numpy as npimg cv2.imread(E://pic//4.jpg)
# (600, 480, 3)new_img cv2.resize(img, None, fx0.3, fy0.3)
new_img2 cv2.resize(img, (300, 240), interpolationcv2.INTER_AREA)cv2.imshow(new_img, new_img)
cv2.imshow(img, img)
cv2.imshow(new_img2, new_img2)key cv2.waitKey(0) 0xff
if key ord(q):cv2.destroyAllWindows()题目 当然选Aimg第一个坐标表示高第二个坐标表示宽高逐渐缩小宽逐渐增大
# -*- coding: utf-8 -*-
import cv2
import numpy as npif __name__ __main__:img cv2.imread(ball.jpg, cv2.IMREAD_COLOR)start [493, 594]end [112, 213]ball img[start[0]:start[1], end[0]:end[1]]x_step 101y_step 10cv2.imshow(img, img)for i in range(-1, 4):# print(i)x_offset x_step*iy_offset y_step*i# 指的是高宽img[start[0]-y_offset:start[1]-y_offset, end[0]x_offset:end[1]x_offset] ballcv2.imshow(ball_continue, img)key cv2.waitKey(0) 0xffif key ord(q):cv2.destroyAllWindows()放大
# -*- coding: utf-8 -*-
import cv2
import numpy as npimg cv2.imread(E://pic//4.jpg)
# (600, 480, 3)new_img cv2.resize(img, None, fx1.3, fy1.3)
new_img2 cv2.resize(img, (300, 240), interpolationcv2.INTER_AREA)cv2.imshow(new_img, new_img)
cv2.imshow(img, img)
cv2.imshow(new_img2, new_img2)key cv2.waitKey(0) 0xff
if key ord(q):cv2.destroyAllWindows()图像的翻转 # -*- coding: utf-8 -*-
import cv2
import numpy as npimg cv2.imread(E://pic//4.jpg)
# 上下翻转
img2 cv2.flip(img, 0)
# 左右翻转
img3 cv2.flip(img, 1)
# 上下左右翻转
img4 cv2.flip(img, -1)cv2.imshow(img, img)
cv2.imshow(img2, img2)
cv2.imshow(img3, img3)
cv2.imshow(img4, img4)key cv2.waitKey(0) 0xff
if key ord(q):cv2.destroyAllWindows()图像的旋转 # -*- coding: utf-8 -*-
import cv2
import numpy as npimg cv2.imread(E://pic//4.jpg)img2 cv2.rotate(img, cv2.ROTATE_90_COUNTERCLOCKWISE)
img3 cv2.rotate(img, cv2.ROTATE_180)
img4 cv2.rotate(img, cv2.ROTATE_90_CLOCKWISE)cv2.imshow(img, img)
cv2.imshow(img2, img2)
cv2.imshow(img3, img3)
cv2.imshow(img4, img4)key cv2.waitKey(0) 0xff
if key ord(q):cv2.destroyAllWindows()仿射变换之图像平移
详细见官方文档 第一行的第三列是x轴偏移量第二行第三列是y轴偏移量
# -*- coding: utf-8 -*-
import cv2
import numpy as npimg cv2.imread(E://pic//4.jpg)
w, h, ch img.shape
M np.float32([[1, 0, 100], [0, 1, 20]])img2 cv2.warpAffine(img, M, (h, w))cv2.imshow(img, img)
cv2.imshow(img2, img2)key cv2.waitKey(0) 0xff
if key ord(q):cv2.destroyAllWindows()仿射变换之获取变换矩阵 # -*- coding: utf-8 -*-
import cv2
import numpy as npimg cv2.imread(E://pic//10.jpg)
w, h, ch img.shape
# M np.float32([[1, 0, 100], [0, 1, 20]])# 旋转的角度为逆时针
M cv2.getRotationMatrix2D((100, 100), 30, 1)
M2 cv2.getRotationMatrix2D((h / 2, w / 2), 60, 0.6)# 如果想改变新图像尺寸需修改dsize
img2 cv2.warpAffine(img, M, (h, w))
img3 cv2.warpAffine(img, M2, (h, w))cv2.imshow(img, img)
cv2.imshow(img2, img2)
cv2.imshow(img3, img3)key cv2.waitKey(0) 0xff
if key ord(q):cv2.destroyAllWindows()仿射变换之变换矩阵之二 # -*- coding: utf-8 -*-
import cv2
import numpy as npimg cv2.imread(E://pic//10.jpg)
w, h, ch img.shape
# M np.float32([[1, 0, 100], [0, 1, 20]])# 旋转的角度为逆时针
# M cv2.getRotationMatrix2D((100, 100), 30, 1)
# M2 cv2.getRotationMatrix2D((h / 2, w / 2), 60, 0.6)src np.float32([[100, 200], [300, 200], [100, 400]])
dst np.float32([[50, 100], [200, 400], [90, 300]])M cv2.getAffineTransform(src, dst)# 如果想改变新图像尺寸需修改dsize
img2 cv2.warpAffine(img, M, (h, w))
# img3 cv2.warpAffine(img, M2, (h, w))cv2.imshow(img, img)
cv2.imshow(img2, img2)
# cv2.imshow(img3, img3)key cv2.waitKey(0) 0xff
if key ord(q):cv2.destroyAllWindows()# -*- coding: utf-8 -*-
import cv2
import numpy as npimg cv2.imread(E://pic//10.jpg)
w, h, ch img.shape
# M np.float32([[1, 0, 100], [0, 1, 20]])# 旋转的角度为逆时针
# M cv2.getRotationMatrix2D((100, 100), 30, 1)
# M2 cv2.getRotationMatrix2D((h / 2, w / 2), 60, 0.6)src np.float32([[100, 200], [300, 200], [100, 400]])
dst np.float32([[50, 100], [200, 400], [60, 500]])M cv2.getAffineTransform(src, dst)# 如果想改变新图像尺寸需修改dsize
img2 cv2.warpAffine(img, M, (h, w))
# img3 cv2.warpAffine(img, M2, (h, w))cv2.imshow(img, img)
cv2.imshow(img2, img2)
# cv2.imshow(img3, img3)key cv2.waitKey(0) 0xff
if key ord(q):cv2.destroyAllWindows()OpenCV透视变换 # -*- coding: utf-8 -*-
import cv2
import numpy as npcv2.namedWindow(img, cv2.WINDOW_NORMAL)
cv2.namedWindow(img2, cv2.WINDOW_NORMAL)
img cv2.imread(perspective.jpeg)src np.float32([[100, 1000], [2100, 1000], [0, 4000], [2500, 3900]])
dst np.float32([[0, 0], [2300, 0], [0, 3000], [2300, 3000]])
M cv2.getPerspectiveTransform(src, dst)img2 cv2.warpPerspective(img, M, (2300, 3000))cv2.imshow(img, img)
cv2.imshow(img2, img2)key cv2.waitKey(0) 0xff
if key ord(q):cv2.destroyAllWindows()之后我会持续更新如果喜欢我的文章请记得一键三连哦点赞关注收藏你的每一个赞每一份关注每一次收藏都将是我前进路上的无限动力 ↖(▔▽▔)↗感谢支持
