Edge Detection Technique using Binary Particle Swarm Optimization

Dagar, Naveen Singh; Dahiya, Pawan Kumar

doi:10.1016/j.procs.2020.03.353

Cited by 19 publications

(7 citation statements)

References 20 publications

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“…Edge detection is widely used in computer vision applications and it is a challenging and time-consuming task. In (Dagar and Dahiya 2020 ), Dagar and Dahiya suggested an edge detection technique based on multi-objective binary PSO. The proposed method is tested on 500 BSD images, and it is compared with edge detection technologies such as Prewitt, Canny, ACO and GA. Pellot et al introduced a method for the 3D reconstruction of vessel lumen from two angiographic images (Pellot et al.…”

Section: Binary Metaheuristic Algorithms In Applicationsmentioning

confidence: 99%

“…( 2012 ) Binary DE Text Summarization Medium Medium High De Souza et al. ( 2013 ) Binary PSO Software Testing Medium Low High Geetha and Jeya Mala ( 2021 ) Multi-Objective BA Software Testing Low Low Medium Dagar and Dahiya ( 2020 ) Multi-Objective Binary PSO Edge Detection Low Low High Pellot et al. ( 1994 ) SA 3D Reconstruction Low Medium Low Shi et al.…”

Section: Binary Metaheuristic Algorithms In Applicationsmentioning

confidence: 99%

See 1 more Smart Citation

A survey on binary metaheuristic algorithms and their engineering applications

Pan

Snåšel

et al. 2022

Artif Intell Rev

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This article presents a comprehensively state-of-the-art investigation of the engineering applications utilized by binary metaheuristic algorithms. Surveyed work is categorized based on application scenarios and solution encoding, and describes these algorithms in detail to help researchers choose appropriate methods to solve related applications. It is seen that transfer function is the main binary coding of metaheuristic algorithms, which usually adopts Sigmoid function. Among the contributions presented, there were different implementations and applications of metaheuristic algorithms, or the study of engineering applications by different objective functions such as the single- and multi-objective problems of feature selection, scheduling, layout and engineering structure optimization. The article identifies current troubles and challenges by the conducted review, and discusses that novel binary algorithm, transfer function, benchmark function, time-consuming problem and application integration are need to be resolved in future.

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Section: Binary Metaheuristic Algorithms In Applicationsmentioning

confidence: 99%

Section: Binary Metaheuristic Algorithms In Applicationsmentioning

confidence: 99%

A survey on binary metaheuristic algorithms and their engineering applications

Pan

Snåšel

et al. 2022

Artif Intell Rev

View full text Add to dashboard Cite

show abstract

“…Edges are used as an inference to "assess" movement and changes in successive images. Edge detection algorithms reduce image data to show edges only, and they describe the edges image in binary format, which reduces memory size and increases the speed of subsequent edgesdependent processing stages [9].…”

Section: Introductionmentioning

confidence: 99%

Image Edge Detection Based on Swarm Intelligence

2021

IJIES

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“…The Sobel operator used for edge detection was found promising and was expected to reduce human error while tracing the boundaries of the bladder. Binary particle swarm optimization technique was applied by N. S. Dagar et al [3] for better edge detection of the images. A. Kumar et al [4] proposed a two-level approach for detecting edges.…”

Section: Introductionmentioning

confidence: 99%

A New Image Processing Technique for Medical Image Analysis

Ghosh¹

2021

IJRASET

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In this communication, we report identification of lung cancer with the help of a new image processing technique. To start with, we compare the results obtained from our proposed method with those obtained from the original Sobel edge detection method. The comparison is done by creating a confusion matrix and considering various parameters such as True Positive, True Negative, False Positive, False Negative, Accuracy, Misclassification Rate, Precision, Recall, Specificity, F Score, Matthews Correlation Coefficient (MCC), F Measurement (FM), Z score, T Score, and P Score. Our proposed method gives better total accuracy than the normal Sobel edge detector. Keywords: Neural network, statistical learning, edge filters, deep learning, image processing

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Edge Detection Technique using Binary Particle Swarm Optimization

Cited by 19 publications

References 20 publications

A survey on binary metaheuristic algorithms and their engineering applications

A survey on binary metaheuristic algorithms and their engineering applications

Image Edge Detection Based on Swarm Intelligence

A New Image Processing Technique for Medical Image Analysis

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