Python OpenCV检测棋盘 [英] Python opencv detecting chessboard

问题描述

我试图弄清楚棋盘图案的角落，并认为我可以将openCV与 cv2.findChessboardCorners 一起使用。

I'm trying to get the corners of a chessboard pattern, and thought I could use openCV with cv2.findChessboardCorners.

但是，我找不到传递给该函数的好参数，以使其成功检测到棋盘。我认为该图像适合该功能。如果不是这样，我就搞不清楚应该做什么预处理。.

However, I can't find the good arguments to pass to the function such that it succeeds in detecting the chessboard. I thought the image would be appropriated for this function. If it is not, I can't figure out what king of preprocessing I should do ..

这是我的代码：

import numpy as np
import cv2
import glob
import sys
import os

nline = 4
ncol = 4 

img = cv2.imread(glob.glob('*.jpg')[0])

## termination criteria
criteria = (cv2.TERM_CRITERIA_EPS + cv2.TERM_CRITERIA_MAX_ITER, 30, 0.001)

## processing
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

# Find the chessboard corners
ret, corners = cv2.findChessboardCorners(gray, (nline, ncol), None)
corners2 = cv2.cornerSubPix(gray, corners, (11, 11), (-1, -1), criteria)

这是图片：

我尝试了各种图案大小来给他，因为我认为4 * 4 p

I have tried various pattern size to give him, because I thought that a 4*4 pattern would be easier to find but it wan not.

编辑：实际上使用适当数量的行和列，其工作原理是：

EDIT : Actually using the appropriated number of lines and columns its works :

但是，对于与第一个没有太大区别的那些对象并没有... ... 11行（用于8列或9列），都尝试过。

However, it doesn't for these ones which are not so different from the first one ... 11 lines, for 8 or 9 columns, tried both.

或者这是，它是13 * 9。

Or this one : which is 13*9.

如何处理此类图像？

推荐答案

参数 nline 和 ncol 必须准确，（行数-1，列数-1）

Parameters nline and ncol must be exact, (number of rows -1, number colums -1)

nline = 11
ncol = 9

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