APTIKOM Journal on Computer Science and Information Technologies (CSIT)
Vol 5 No 2 July (2020): APTIKOM Journal on Computer Science and Information Technologies (CSIT)

INTEGRATION OF LOCAL CHAN VASE ALONG WITH OPTIMIZATION TECHNIQUES FOR SEGMENTATION

Jyothula, Hari (Unknown)
Rao, S. Koteswara (Unknown)
Kumari, V. Valli (Unknown)

Article Info

Publish Date
24 Apr 2020

Abstract

image is a two dimensional capacity f(x, y). The way toward dividing an image into numerous parts or questions is named as Segmentation. There are two noteworthy deterrents in sectioning an image i.e., Intensity Inhomogeneity and Noise. As a result of these challenges, precise division comes about can't be acquired. This paper presents Local Chan-Vese (LCV) alongside some enhancement methods for minimization of vitality capacities to defeat power inhomogeneity and commotion. By consolidating this implanted approach, the images with force inhomogeneity can be effectively divided.

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Journal Info
APTIKOM Journal on Computer Science and Information Technologies (CSIT)
Website

Abbrev

csit

Publisher

Asosiasi Perguruan Tinggi Informatika dan Ilmu Komputer

Subject

Computer Science & IT Education Electrical & Electronics Engineering Energy Materials Science & Nanotechnology

Description

APTIKOM Journal on Computer Science and Information Technologies is a peer-reviewed international journal that publish original research article, review papers, short communications that will have an immediate impact on the ongoing research in all areas of Computer Science, Informatics, Electronics ...