In 1962 Hough earned the patent for a method [1], popularly called Hough Transform (HT)
that efficiently identifies lines in images. It is an important tool even after the golden jubilee …

An automated computational methodology to extract agricultural crop fields from 30 m Web
Enabled Landsat data (WELD) time series is presented. The results for three 150× 150 km …

Detecting circles from a digital image is very important in shape recognition. In this paper, an
efficient randomized algorithm (RCD) for detecting circles is presented, which is not based …

This paper presents an integrated approach for the automatic extraction of rectangular-and
circular-shape buildings from high-resolution optical spaceborne images using the …

In this paper, we propose an approach for automatic detection of bike-riders without helmet
using surveillance videos in real time. The proposed approach first detects bike riders from …

For more than half a century, the Hough transform is ever-expanding for new frontiers.
Thousands of research papers and numerous applications have evolved over the decades …

Significant bit) based Steganography technique for images imparting better information
security. It presents an embedding algorithm for hiding encrypted messages in nonadjacent …

Abstract The Circle Hough Transform (CHT) is one of the popular circle detection algorithm
in image processing and machine vision application, favored for its tolerance to noise …

A large number of methods for circle detection have been studied in the last years for
several image processing applications. The context application considered in this work is …

Purpose: Optical coherence tomography (OCT) is a catheter‐based imaging method that
employs near‐infrared light to produce high‐resolution cross‐sectional intravascular …