Find The Center Of A White Line In An Image Using OpenCV · GitHub

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araffin/color_mask.py Created October 6, 2017 15:56 Show Gist options

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Learn more about clone URLs Clone this repository at <script src="https://gist.github.com/araffin/6728aec43b2ed6b1b07738f4c3a42cf5.js"></script> Save araffin/6728aec43b2ed6b1b07738f4c3a42cf5 to your computer and use it in GitHub Desktop. Download ZIP Find the center of a white line in an image using OpenCV Raw color_mask.py This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode characters Show hidden characters

from __future__ import division

import cv2

import numpy as np

# Input Image

image = cv2.imread("my_image.jpg")

# Convert to HSV color space

hsv = cv2.cvtColor(image, cv2.COLOR_RGB2HSV)

# Define range of white color in HSV

lower_white = np.array([0, 0, 212])

upper_white = np.array([131, 255, 255])

# Threshold the HSV image

mask = cv2.inRange(hsv, lower_white, upper_white)

# Remove noise

kernel_erode = np.ones((4,4), np.uint8)

eroded_mask = cv2.erode(mask, kernel_erode, iterations=1)

kernel_dilate = np.ones((6,6),np.uint8)

dilated_mask = cv2.dilate(eroded_mask, kernel_dilate, iterations=1)

# Find the different contours

im2, contours, hierarchy = cv2.findContours(dilated_mask, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)

# Sort by area (keep only the biggest one)

contours = sorted(contours, key=cv2.contourArea, reverse=True)[:1]

if len(contours) > 0:

M = cv2.moments(contours[0])

# Centroid

cx = int(M['m10']/M['m00'])

cy = int(M['m01']/M['m00'])

print("Centroid of the biggest area: ({}, {})".format(cx, cy))

else:

print("No Centroid Found")

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