A REVIEW OF THE METHODS FOR QUALITATIVE UNDERSTANDING OF A SCENE IMAGE

A REVIEW OF THE METHODS FOR QUALITATIVE UNDERSTANDING OF A SCENE IMAGE

Ambiguity in nature gets preserved in its captured images also. Preserving it while classifying an image, is a challenging task. Ascene image also can belong to multiple categories at a time which makes a task of classification much more difficult and often leads to classification errors. Binary cla...

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Bibliographic Details
Main Authors: Janhavi Shirke, N. M.Shahane
Format: Article
Language:English
Published: Yeshwantrao Chavan College of Engineering, India 2016-07-01
Series:Journal of Research in Engineering and Applied Sciences
Subjects:
fuzzy membership
binary classification
fuzzy classifier.
Online Access:http://www.mgijournal.com/Data/Issues_AdminPdf/54/Paper_16issue%20(6).pdf
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spelling doaj-3c45bc70cb314473b1fd4649c68e61ed2020-11-25T02:14:05ZengYeshwantrao Chavan College of Engineering, IndiaJournal of Research in Engineering and Applied Sciences2456-64032456-64032016-07-01113741https://doi.org/10.46565/jreas.2016.v01i01.006A REVIEW OF THE METHODS FOR QUALITATIVE UNDERSTANDING OF A SCENE IMAGEJanhavi Shirke0N. M.Shahane1Department of Computer EngineeringDepartment of Computer EngineeringAmbiguity in nature gets preserved in its captured images also. Preserving it while classifying an image, is a challenging task. Ascene image also can belong to multiple categories at a time which makes a task of classification much more difficult and often leads to classification errors. Binary classification fails to capture this ambiguity while classifying the scene image into one of mutually exclusive classes. Fuzzy classifier handles this problem by considering fuzzy membership with non-mutually exclusive class categories. This paper provides a review of the existing methods for qualitative understanding of a natural scene image.http://www.mgijournal.com/Data/Issues_AdminPdf/54/Paper_16issue%20(6).pdffuzzy membershipbinary classificationfuzzy classifier.
collection DOAJ
language English
format Article
sources DOAJ
author Janhavi Shirke
N. M.Shahane
spellingShingle Janhavi Shirke
N. M.Shahane
A REVIEW OF THE METHODS FOR QUALITATIVE UNDERSTANDING OF A SCENE IMAGE
Journal of Research in Engineering and Applied Sciences
fuzzy membership
binary classification
fuzzy classifier.
author_facet Janhavi Shirke
N. M.Shahane
author_sort Janhavi Shirke
title A REVIEW OF THE METHODS FOR QUALITATIVE UNDERSTANDING OF A SCENE IMAGE
title_short A REVIEW OF THE METHODS FOR QUALITATIVE UNDERSTANDING OF A SCENE IMAGE
title_full A REVIEW OF THE METHODS FOR QUALITATIVE UNDERSTANDING OF A SCENE IMAGE
title_fullStr A REVIEW OF THE METHODS FOR QUALITATIVE UNDERSTANDING OF A SCENE IMAGE
title_full_unstemmed A REVIEW OF THE METHODS FOR QUALITATIVE UNDERSTANDING OF A SCENE IMAGE
title_sort review of the methods for qualitative understanding of a scene image
publisher Yeshwantrao Chavan College of Engineering, India
series Journal of Research in Engineering and Applied Sciences
issn 2456-6403
2456-6403
publishDate 2016-07-01
description Ambiguity in nature gets preserved in its captured images also. Preserving it while classifying an image, is a challenging task. Ascene image also can belong to multiple categories at a time which makes a task of classification much more difficult and often leads to classification errors. Binary classification fails to capture this ambiguity while classifying the scene image into one of mutually exclusive classes. Fuzzy classifier handles this problem by considering fuzzy membership with non-mutually exclusive class categories. This paper provides a review of the existing methods for qualitative understanding of a natural scene image.
topic fuzzy membership
binary classification
fuzzy classifier.
url http://www.mgijournal.com/Data/Issues_AdminPdf/54/Paper_16issue%20(6).pdf
work_keys_str_mv AT janhavishirke areviewofthemethodsforqualitativeunderstandingofasceneimage
AT nmshahane areviewofthemethodsforqualitativeunderstandingofasceneimage
AT janhavishirke reviewofthemethodsforqualitativeunderstandingofasceneimage
AT nmshahane reviewofthemethodsforqualitativeunderstandingofasceneimage
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