opencv实现回形遍历像素算法

本文实例为大家分享了opencv实现回形遍历像素算法的具体代码，供大家参考，具体内容如下

代码实现

# -*- coding:utf-8 -*-
import cv2
import numpy as np

cv2.namedWindow('img', 0)

def traversePixelByCycloidLine(image):
"""
从一副灰度图像的中心开始向边缘按回形线的方式遍历所有像素，每个像素只能访问一次。
我目前实现了基本的算法, 但存在以下问题:
1) 只支持方阵, 且行列为奇数
2) 只实现, 代码没整理
"""

h, w = image.shape[:2]

assert h == w and h ％ 2 == 1, '只支持方阵, 且行列为奇数'

center_x, center_y = [w // 2, h // 2]

traverse_num = h * w

cycloid_num = 0
value = 1
while True:

for i in range(cycloid_num * 2 + 1):
  if value >= traverse_num:
   return image
  center_x = center_x + 1
  image[center_y, center_x] = 255
  value += 1
  cv2.imshow('img', image)
  cv2.waitKey(33)

for i in range(cycloid_num * 2 + 1):
  if value >= traverse_num:
   return image
  center_y = center_y + 1
  image[center_y, center_x] = 255
  value += 1
  cv2.imshow('img', image)
  cv2.waitKey(33)

for i in range(cycloid_num * 2 + 2):
  if value >= traverse_num:
   return image
  center_x = center_x - 1
  image[center_y, center_x] = 255
  value += 1
  cv2.imshow('img', image)
  cv2.waitKey(33)

for i in range(cycloid_num * 2 + 2):
  if value >= traverse_num:
   return image
  center_y = center_y - 1
  image[center_y, center_x] = 255
  value += 1
  cv2.imshow('img', image)
  cv2.waitKey(33)
 cycloid_num += 1

image_wh = 11

while True:
image = np.zeros((image_wh, image_wh, 3), dtype=np.uint8)
traversePixelByCycloidLine(image)

效果展示

来源：https://blog.csdn.net/u014072827/article/details/114373552