Object recognition using fuzzy logic
| Vol-3 | Issue-12 | December 2018 | Published Online: 10 December 2018 PDF ( 155 KB ) | ||
| Author(s) | ||
| Guddi Singh 1 | ||
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1Assistant Professor, Department of Computer Science, Kalinga University, Naya Raipur, Chhattisgarh (India) |
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| Abstract | ||
Object acknowledgment can be seen as a piece of a PC vision framework in which the picture examples will be changed over into an element space and thusly this will be changed into the characterization of different items to be distinguished. Question acknowledgment requires an earlier information of the protest depiction. Commonly these portrayals incorporate shape, surface, shading, and size of the event of such protests in a picture. For identifying image different approaches are followed such as similarity based approach and discontinuity approach. Since these approaches does not give better results hence we have applied Fuzzy logic-K means for identifying different objects in an image. The model accuracy is tested on MATLAB. |
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| Keywords | ||
| Object recognition, Fuzzy Logic, K-means Algorithm, Content Based Image Retrieval, vectors | ||
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