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

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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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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Krishnaveni. 2021. \u201cThe Impact of Different Image Thresholding based Mammogram Image Segmentation- A Review\u201d. Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 21 (GJCST Volume 21 Issue F1): .

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Issue Cover
GJCST Volume 21 Issue F1
Pg. 25- 39
Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords
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GJCST-F Classification: I.2.10
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v1.2

Issue date

March 17, 2021

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

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