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On the detectability of forbidden lines
Journal of Quantitative Spectroscopy and Radiative Transfer, 1977Abstract We show that the traditional interpretation of the non-detection of forbidden lines in dense natural plasmas is based on a misunderstanding. The central intensity of the line, taken to be a measure of detectability, is shown to have a maximum as a function of electron density and to be a linear function of electron density in tenuous plasmas.
Yuri Mekler, Aharon Eviatar
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Outlier Detection for Line Matching
2019Finding counterparts for straight lines over multiple images is a fundamental task in image processing, and the base for 3D reconstruction methods using segments. This paper introduces novel insights to improve the state-of-the-art unsupervised line matching over groups of images, aimed to source geometrical relations for 3D reconstruction algorithms ...
Roi Santos +2 more
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A New Randomized Algorithm for Detecting Lines
Real-Time Imaging, 2001Summary: Line detection is very important in image processing. In this paper, a new randomized algorithm for detecting lines is presented. The proposed algorithm is quite different from the previous parameter--based methods which vote on the parameter space.
Chen, T.C., Chung, K.L.
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2020
An image analysis problem can often be described as a task of recognizing patterns in images. Example patterns are straight lines and curve-like structures. The Hough transform is a highly effective algorithm for detecting straight lines in images and is the topic of the first part of the chapter.
Rasmus R. Paulsen, Thomas B. Moeslund
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An image analysis problem can often be described as a task of recognizing patterns in images. Example patterns are straight lines and curve-like structures. The Hough transform is a highly effective algorithm for detecting straight lines in images and is the topic of the first part of the chapter.
Rasmus R. Paulsen, Thomas B. Moeslund
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Morphological Thick Line Center Detection
201080
Miguel Alemán-Flores +3 more
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ULSD: Unified line segment detection across pinhole, fisheye, and spherical cameras
ISPRS Journal of Photogrammetry and Remote Sensing, 2021Huai Yu, Jinwang Wang, Wen Yang
exaly
2010
A smart robot can detect its surroundings and make decisions based on its findings; a smart robot is a winning robot. One of the ways to make your robot smart is by giving it the ability to receive input from the game field. Using a light sensor on your MINDSTORMS robot is a great place to start when adding some intelligence. I have found that many new
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A smart robot can detect its surroundings and make decisions based on its findings; a smart robot is a winning robot. One of the ways to make your robot smart is by giving it the ability to receive input from the game field. Using a light sensor on your MINDSTORMS robot is a great place to start when adding some intelligence. I have found that many new
openaire +1 more source
Deep Hough Transform for Semantic Line Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021Chang-Bin Zhang +2 more
exaly
Line-CNN: End-to-End Traffic Line Detection With Line Proposal Unit
IEEE Transactions on Intelligent Transportation Systems, 2020Xiang Li, Xiaolin Hu, Jian Yang
exaly
Effective and Efficient Line Segment Detection for Visual Measurement Guided by Level Lines
IEEE Transactions on Instrumentation and Measurement, 2023Xinyu Lin, Yingjie Zhou, Yipeng Liu
exaly