- ✕This summary was generated using AI based on multiple online sources. To view the original source information, use the "Learn more" links.
Line detection is a crucial technique in image processing that involves identifying lines within an image. This can be achieved using various methods, with the Hough Transform and convolution-based techniques being the most popular.
Hough Transform
The Hough Transform is a method used to detect shapes that can be represented mathematically, such as lines. It works by transforming points in the image space to the Hough space, where each point in the image corresponds to a sinusoidal curve in the Hough space. The intersection points of these curves indicate the presence of a line in the image.
Here's a Python example using OpenCV to detect lines using the Hough Transform:
import cv2import numpy as np# Read the imageimg = cv2.imread('image.jpg')# Convert the image to grayscalegray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)# Apply edge detectionedges = cv2.Canny(gray, 50, 150, apertureSize=3)# Detect lines using Hough Transformlines = cv2.HoughLines(edges, 1, np.pi/180, 200)# Draw the lines on the imagefor r_theta in lines:arr = np.array(r_theta[0], dtype=np.float64)r, theta = arra = np.cos(theta)b = np.sin(theta)x0 = a * ry0 = b * rx1 = int(x0 + 1000 * (-b))y1 = int(y0 + 1000 * (a))x2 = int(x0 - 1000 * (-b))y2 = int(y0 - 1000 * (a))cv2.line(img, (x1, y1), (x2, y2), (0, 0, 255), 2)# Save the resultcv2.imwrite('linesDetected.jpg', img)Copied!✕Copy Line detection - Wikipedia
In image processing, line detection is an algorithm that takes a collection of n edge points and finds all the lines on which these edge points lie. [1] The most popular line detectors are the Hough transform …
OpenCV Line Detection | by Amit Yadav | Medium
Aug 14, 2024 · Line detection using the Hough Transform in OpenCV is a powerful technique that you can apply in various applications, from detecting lanes on a …
Line detection — Basics of Image Processing - GitHub Pages
Line detection consists of detecting alignments of points in an image of contours. The usual method for line detection is the Hough transform [Hough 1962].
Line detection in python with OpenCV | Houghline method
Jul 25, 2024 · We will see how Hough transform works for line detection using the HoughLine transform method. To apply the Houghline method, first an edge …
Hough Line Transform - OpenCV
- Watch full videoWatch full video
LINEA: Fast and Accurate Line Detection Using Scalable Transformers
May 22, 2025 · Line detection is a basic digital image processing operation used by higher-level processing methods. Recently, transformer-based methods for line detection have proven to be more …
Top 2 Methods to Detect Lines in OpenCV for Image …
Nov 23, 2024 · Learn effective techniques to enhance line detection in OpenCV while minimizing noise in your images. Discover practical code examples.
line-detection · GitHub Topics · GitHub
Dec 11, 2025 · This is a Python + OpenCV implementation of the Vanishing Point algorithm by Xiaohu Lu et al. - http://xiaohulugo.github.io/papers/Vanishing_Point_Detection_WACV2017.pdf
Computer Vision Line Detection - numberanalytics.com
Jun 11, 2025 · In this article, we will explore the world of line detection in computer vision, covering techniques, applications, and best practices for accurate edge detection.
Line Detection Based on Hough Transform and its Application
Jun 3, 2025 · In this study, we implement Hough transform-based line detection on the HLS platform, using polar coordinates (angle θ and distance ρ) instead of the traditional slope and intercept to …