Ranking Categories in a Scene Image using Texture Based Analysis
Abstract
Ambiguity in nature gets preserved in its captured images also. Preserving it while classifying an image, is a challenging task. A scene 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. This problem can be handled by considering fuzzy membership with non-mutually exclusive class categories. This work provides a ranking based class membership instead of binary classification.
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