The Impact of Different Image Thresholding based Mammogram Image Segmentation- A Review

Krishnaveni

The Impact of Different Image Thresholding based Mammogram Image Segmentation- A Review

Krishnaveni *

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The Impact of Different Image Thresholding based Mammogram Image Segmentation- A Review

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Abstract

Images are examined and discretized numerical capacities. The goal of computerized image processing is to enhance the nature of pictorial data and to encourage programmed machine elucidation. A computerized imaging framework ought to have fundamental segments for picture procurement, exceptional equipment for encouraging picture applications, and a tremendous measure of memory for capacity and info/yield gadgets. Picture segmentation is the field broadly scrutinized particularly in numerous restorative applications and still offers different difficulties for the specialists. Segmentation is a critical errand to recognize districts suspicious of tumor in computerized mammograms. Every last picture have distinctive sorts of edges and diverse levels of limits. In picture transforming, the most regularly utilized strategy as a part of extricating articles from a picture is “thresholding”. Thresholding is a prevalent device for picture segmentation for its straightforwardness, particularly in the fields where ongoing handling is required.

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No external funding was declared for this work.

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The authors declare no conflict of interest.

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How to Cite This Article

Krishnaveni. 2021. "The Impact of Different Image Thresholding based Mammogram Image Segmentation- A Review". Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 21 (GJCST Volume 21 Issue F1).

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GJCST Volume 21 Issue F1

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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Classification

GJCST-F Classification I.2.10

Submission ReceivedDecember 8, 2020
Peer Review Double Blind
Handling Editor
Accepted January 5, 2021
Published January 15, 2021

Version of record

v1.2

Issue date

March 17, 2021

Language

English

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