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GUD-Canny: a real-time GPU-based unsupervised and distributed Canny edge detector
The Canny algorithm is one of the most commonly used edge detectors due to its superior performance, especially in noisy environments. Its main...
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Quantum implementation of the classical Canny edge detector
Edge detection is a basic problem in digital image processing. Its purpose is to detect the pixels whose gray level changes obviously in the...
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Visually impaired object segmentation and detection using hybrid Canny edge detector, Hough transform, and improved momentum search in YOLOv7
People with disabilities are now standardizing their lives with the advancement of Portable Assistive Technology (PAT). Among the physically...
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A new approach to simulate the dynamic behavior of particulate matter using a canny edge detector embedded PIV algorithm
Over the last few years, the study of characteristics of particles present in the environment becomes an interesting research area for scientists....
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VLSI Implementation of Reconfigurable Canny Edge Detection Algorithm
Real-time video and image processing are used in various industrial, medical, consumer electronics and embedded device applications. These...
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Edge Discerning Using Improved PSO and Canny Algorithm
In applications of image processing edge detection plays an important task. In this paper, the identification of edge using improved particle swarm...
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ElDet: An Anchor-Free General Ellipse Object Detector
Ellipse detection is a fundamental task in object shape analysis. Under complex environments, the traditional image processing based approaches may...
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Low resource FPGA implementation based efficient image edge detector architecture
This paper proposes a resource-efficient architecture of Sobel edge detector, Prewitt edge detector, Roberts edge detector and Laplacian edge...
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CF-lines: a fusing contour features optimization method for line segment detector
Aiming at the problem that the existing line segment detectors will detect overdense meaningless textures, this paper proposes a fusing contour...
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A robust edge detection algorithm based on feature-based image registration (FBIR) using improved canny with fuzzy logic (ICWFL)
The problem of edge detection plays a crucial role in almost all research areas of image processing. If edges are detected accurately, one can detect...
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SATMeas - Object Detection and Measurement: Canny Edge Detection Algorithm
In today’s modern world, detecting objects in real-time and measuring their dimensions has become a challenge in many areas of industry. Many big...
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MSED: A Robust Ellipse Detector with Multi-scale Merging and Validation
In the task of ellipse detection, the edge pixels that share the similar elliptic convexity are identified and combined to produce a potential...
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On an Edge Detector Based on Ordinal Sums of Conjunctive and Disjunctive Aggregation Functions
Aggregation functions have been used in the last decade in several edge detectors with notable success. Recently, a new family of aggregation...
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PiDiNeXt: An Efficient Edge Detector Based on Parallel Pixel Difference Networks
The Pixel Difference Network (PiDiNet) is well-known for its success in edge detection. Combining traditional operators with deep learning, PiDiNet...
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An automatic AVR biomarker assessment system in retinal imaging
Retinal Imaging, a non-invasive way to scan the back of the eye, provides a mean to extract different possible biomarkers, such as Artery and Vein...
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A deep learning framework for historical manuscripts writer identification using data-driven features
Writer identification form historical manuscripts presents a challenging problem with significant implications for understanding the authorship of...
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An automatic MRI brain image segmentation technique using edge–region-based level set
Digital transformation has brought radical changes in several domains. Particularly, image processing techniques have been generally used in medical,...
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Adaptative Fuzzy Measure for Edge Detection
In this work, an analysis of the influence of the fuzzy measure for Choquet integral and its generalizations is presented. The work has been done in...
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Structural Invariant Feature Segmentation Based Apple Fruit Disease Detection Using Deep Spectral Generative Adversarial Networks
In Indian economy agriculture, Crop cultivation plays an important role in the fruit production agricultural sector. At present, crop loss is...
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A modified Local Binary Pattern based on homogeneity criterion for robust edge detection
Today, the Local Binary Pattern (LBP) has become one of the most widely used texture descriptors thanks to its invariance and efficiency. The basic...
