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Results 11 - 20
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1,633
A simple and effective edge detector
- In ICIAP ’97: Proceedings of the 9th International Conference on Image Analysis and Processing-Volume I
, 1997
"... Abstract. Nonlinear filtering based on a two concentric circular windows operator is introduced as a simple and effective way to find edges in image processing. The dual windows edge detector can operate with no fixed threshold, is isotropic, i.e. its response does not depend on edge orientation an ..."
Abstract
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Cited by 1 (0 self)
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Abstract. Nonlinear filtering based on a two concentric circular windows operator is introduced as a simple and effective way to find edges in image processing. The dual windows edge detector can operate with no fixed threshold, is isotropic, i.e. its response does not depend on edge orientation
Using Canny’s criteria to derive a recursively implemented optimal edge detector
- J. OF COMP. VISION
, 1987
"... A highly efficient recursive algorithm for edge detection is presented. Using Canny's design [1], we show that a solution to his precise formulation of detection and localization for an infinite extent filter leads to an optimal operator in one dimension, which can be efficiently implemented by ..."
Abstract
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Cited by 289 (14 self)
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execution of the algorithm. Performance measures of this new edge detector are given and compared to Canny's filters. Various experimental results are shown.
Comparison of Edge Detectors: A Methodology and Initial Study
- COMPUTER VISION AND IMAGE UNDERSTANDING
, 1996
"... Because of the difficulty of obtaining ground truth for real images, the traditional technique for comparing low-level vision algorithms is to present image results, side by side, and to let the reader subjectively judge the quality. This is not a scientifically satisfactory strategy. However, human ..."
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Cited by 70 (1 self)
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by comparing four well known edge detectors: Canny, Nalwa-Binford, Sarkar-Boyer, and Sobel. We answer the following questions: Is there a statistically significant difference in edge detector outputs as perceived by humans? Do the edge detection results of an operator vary significantly with the choice of its
A Direction Based Novel Edge Detector
"... Abstract:- This paper presents a novel direction based edge detector which not only can detect the whole edges in an image like other edge detectors, but also more effectively detect edges in any directions that are pre-selected by users. It provides users with an additional function to extract piec ..."
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Abstract:- This paper presents a novel direction based edge detector which not only can detect the whole edges in an image like other edge detectors, but also more effectively detect edges in any directions that are pre-selected by users. It provides users with an additional function to extract
Intelligent Edge Detector Based on Multiple Edge Maps
, 2012
"... Abstract — An intelligent edge detection method is proposed in this paper. The method is based on fusing multiple edge detectors to enhance the edge detection capability and overcome each edge operator disadvantages. The fusion method is implemented via pattern recognition and machine learning techn ..."
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Cited by 1 (1 self)
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Abstract — An intelligent edge detection method is proposed in this paper. The method is based on fusing multiple edge detectors to enhance the edge detection capability and overcome each edge operator disadvantages. The fusion method is implemented via pattern recognition and machine learning
The Selection of Edge Detectors Using Local Image Structure
- In 7 th IEEE International Conference on Tools with Artificial Intelligence
, 1995
"... This paper summarizes a system, called SED, "Se-lection of Edge DetectorsN, which is able to automati-cally select edge detectors and their scales to extract a given edge. The basic organization of the SED system is a collection of edge detectors within a knowledge structure about the character ..."
Abstract
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Cited by 1 (1 self)
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This paper summarizes a system, called SED, "Se-lection of Edge DetectorsN, which is able to automati-cally select edge detectors and their scales to extract a given edge. The basic organization of the SED system is a collection of edge detectors within a knowledge structure about
Non-linear Edge Detectors Based on the Majority Gate
"... Abstract: A new technique for implementation of morphological edge detectors, including median prefiltering is presented in this paper. The proposed technique uses a bit-serial algorithm based on the majority gate. Several morphological edge detectors are studied and experimental results are also pr ..."
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Abstract: A new technique for implementation of morphological edge detectors, including median prefiltering is presented in this paper. The proposed technique uses a bit-serial algorithm based on the majority gate. Several morphological edge detectors are studied and experimental results are also
Polarimetric Edge Detector based on the complex Wishart distribution
"... Abstract- A new edge detector for polarimetric SAR data has been developed. The edge detector is based on a newly developed test statistic for equality of two complex covariance matrices following the complex Wishart distribution and an associated asymptotic probability for the test statistic. The n ..."
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Abstract- A new edge detector for polarimetric SAR data has been developed. The edge detector is based on a newly developed test statistic for equality of two complex covariance matrices following the complex Wishart distribution and an associated asymptotic probability for the test statistic
Edge Thinning Used in the SUSAN Edge Detector
, 1995
"... This note describes the edge thinning algorithm used in the SUSAN edge detector (see [9] or [8]). Keywords: edge detection, feature detection, thinning. c fl Crown Copyright (1995), Defence Research Agency, Farnborough, Hampshire, GU14 6TD, UK 1 Introduction This note describes the rules used fo ..."
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This note describes the edge thinning algorithm used in the SUSAN edge detector (see [9] or [8]). Keywords: edge detection, feature detection, thinning. c fl Crown Copyright (1995), Defence Research Agency, Farnborough, Hampshire, GU14 6TD, UK 1 Introduction This note describes the rules used
Creating edge detectors by evolutionary reinforcement learning
- in Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2008), Hong Kong
, 2008
"... Abstract — In this article we present results from experiments where a edge detector was learned from scratch by EANT2, a method for evolutionary reinforcement learning. The detector is constructed as a neural network that takes as input the pixel values from a given image region—the same way that s ..."
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Cited by 2 (1 self)
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Abstract — In this article we present results from experiments where a edge detector was learned from scratch by EANT2, a method for evolutionary reinforcement learning. The detector is constructed as a neural network that takes as input the pixel values from a given image region—the same way
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