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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Yeshwantrao Chavan College of Engineering, India
2016-07-01
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| Series: | Journal of Research in Engineering and Applied Sciences |
| Subjects: | |
| Online Access: | http://www.mgijournal.com/Data/Issues_AdminPdf/54/Paper_16issue%20(6).pdf |
| Summary: | 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. |
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| ISSN: | 2456-6403 2456-6403 |