2016
DOI: 10.17485/ijst/2016/v9is1/107818
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Segmentation of Satellite and Medical Imagery using Homomorphic Filtering based Level Set Evolution

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Cited by 9 publications
(5 citation statements)
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“…c (global parameter) that accelerates all the pixels to obtain global best position, With value 2 that communicates the pixels and swarm's fitness which handles equilibrium between each pixels best solution and global optimum solution along with properly chosen parameter so called as inertia weight '' w which is a positive constant. Inertia weight's importance has been discussed in [12][13][14][15][16][17]. If we take '' w as small, PSO turns out as local search technique which principles to an acceptable solution that is reachable to the initial space of search, and then PSO converges finding a global optimum sooner, if not optimization becomes difficult.If we consider it as large, then PSO turns out as global search technique which principles to optimum solution with number of iterations.…”
Section: Step 4 Use Adaptive Histogram Equalization Methods Thatmentioning
confidence: 99%
“…c (global parameter) that accelerates all the pixels to obtain global best position, With value 2 that communicates the pixels and swarm's fitness which handles equilibrium between each pixels best solution and global optimum solution along with properly chosen parameter so called as inertia weight '' w which is a positive constant. Inertia weight's importance has been discussed in [12][13][14][15][16][17]. If we take '' w as small, PSO turns out as local search technique which principles to an acceptable solution that is reachable to the initial space of search, and then PSO converges finding a global optimum sooner, if not optimization becomes difficult.If we consider it as large, then PSO turns out as global search technique which principles to optimum solution with number of iterations.…”
Section: Step 4 Use Adaptive Histogram Equalization Methods Thatmentioning
confidence: 99%
“…A dimension set strategy had been utilized to catch as opposed to follow interfaces. Since the strategy is steady, the conditions are not superfluously solid, geometric amounts, for example, ebb and flow become simple to figure, and three dimensional (3D) issues present no issues, this method had been utilized in wide gathering of issues which includes moving interfaces, including the age of insignificant surfaces, singularities, and geodesics in moving bends along with surfaces, fire spread, drawing, statement and lithography figuring's, gem development, and also framework age [24][25][26][27][28]. They install the underlying location of moving interface C0(x) as a zero dimension set with higher dimensional capacity φ, marked separation to C0, and connection the development of such new capacity φ with the advancement interface itself by means of period sub-ordinate starting worth issue.…”
Section: Implementation To Level Set Methodsmentioning
confidence: 99%
“…Note that widening and disintegration on parallel pictures could be seen as one of the convolution types over a logical operation based math of activities -OR, XOR, AND, and NOT that are characterized between the corresponding pixels in relating areas of two pictures of an equivalent measurement - [24]. Moreover, two higher request tasks, opening and shutting, are based on enlargement and disintegration.…”
Section: Morphological Operationsmentioning
confidence: 99%
“…We get a novel level set equation for our method by simply substituting an equation ( 16) in an Equation (17). At last the proposed level set follows after pre-processing of an image [24].…”
Section: A Implementation To Modified Level Set Segmentationmentioning
confidence: 99%