Circle detection using electro-magnetism optimization

Cuevas, Erik; Oliva, Diego; Zaldívar, Daniel; Pérez‐Cisneros, Marco; Sossa, Humberto

doi:10.1016/j.ins.2010.12.024

Cited by 112 publications

(46 citation statements)

References 46 publications

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“…In our system, the images are processed with the weighted average method. Based on experiments and theoretical derivations, we define the weights of R, G and B as W r =0.3, W g =0.59, and W b =0.11, as shown in Equation (11).…”

Section: Grey Level Transformationmentioning

confidence: 99%

See 1 more Smart Citation

A Novel and Low-cost Method for Measuring Wind Speed and Flow in Pipeline

Xue-tang¹,

Xu²,

Zhao³

et al. 2016

IJHIT

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Section: Grey Level Transformationmentioning

confidence: 99%

“…The commonly used edge detection approaches include the Roberts operator method, the Prewitt operator method, and the Sobel operator method [11]. The Sobel operator method is used in this paper, which is fast and entails slight computational loads.…”

Section: Edge Detectionmentioning

confidence: 99%

A Novel and Low-cost Method for Measuring Wind Speed and Flow in Pipeline

Xue-tang¹,

Xu²,

Zhao³

et al. 2016

IJHIT

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show abstract

“…Ayala-Ramirez et al, 2006) and several other optimization routines (e.g. Cuevas et al, 2012) were also tested for circle detection.…”

Section: Previous Studiesmentioning

confidence: 99%

Automated Detection of Oil Depots From High Resolution Images: A New Perspective

Baseski

2015

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:This paper presents an original approach to identify oil depots from single high resolution aerial/satellite images in an automated manner. The new approach considers the symmetric nature of circular oil depots, and it computes the radial symmetry in a unique way. An automated thresholding method to focus on circular regions and a new measure to verify circles are proposed. Experiments are performed on six GeoEye-1 test images. Besides, we perform tests on 16 Google Earth images of an industrial test site acquired in a time series manner (between the years 1995 and 2012). The results reveal that our approach is capable of detecting circle objects in very different/difficult images. We computed an overall performance of 95.8% for the GeoEye-1 dataset. The time series investigation reveals that our approach is robust enough to locate oil depots in industrial environments under varying illumination and environmental conditions. The overall performance is computed as 89.4% for the Google Earth dataset, and this result secures the success of our approach compared to a state-of-the-art approach.

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“…For the algorithms that are not bio-inspired, most have been developed by mimicking certain physical and/or chemical laws, including electrical charges, gravity, river systems, etc. The typical physics and chemistry inspired met heuristic algorithms include Big Bang-big Crunch optimization algorithm [7], Black hole algorithm [8], Central force optimization algorithm [9], Charged system search algorithm [10], Electro-magnetism optimization algorithm [11], Galaxy-based search algorithm [12], Harmony search algorithm [13], Intelligent water…”

Section: Introductionmentioning

confidence: 99%

Function Optimization and Parameter Performance Analysis Based on Gravitation Search Algorithm

Wang

Song

2015

Algorithms

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Abstract:The gravitational search algorithm (GSA) is a kind of swarm intelligence optimization algorithm based on the law of gravitation. The parameter initialization of all swarm intelligence optimization algorithms has an important influence on the global optimization ability. Seen from the basic principle of GSA, the convergence rate of GSA is determined by the gravitational constant and the acceleration of the particles. The optimization performances on six typical test functions are verified by the simulation experiments. The simulation results show that the convergence speed of the GSA algorithm is relatively sensitive to the setting of the algorithm parameters, and the GSA parameter can be used flexibly to improve the algorithm's convergence velocity and improve the accuracy of the solutions.

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Circle detection using electro-magnetism optimization

Cited by 112 publications

References 46 publications

A Novel and Low-cost Method for Measuring Wind Speed and Flow in Pipeline

A Novel and Low-cost Method for Measuring Wind Speed and Flow in Pipeline

Automated Detection of Oil Depots From High Resolution Images: A New Perspective

Function Optimization and Parameter Performance Analysis Based on Gravitation Search Algorithm

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