EFFICIENT FEATURE EXTRACTION WITH NEURO FUZZY CLASSIFICATION APPROACH FOR OBJECT DETECTION
| Main Author: | Akanksha Sharma*1 & Harpreet K. Bajaj2 |
|---|---|
| Format: | Article Journal |
| Terbitan: |
, 2018
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/1291944 |
Daftar Isi:
- Images are used in many applications, where the decision is done on the basis of the scanned images. In such applications, first of all the image processing techniques are applied to enhance the quality of the image. Object segmentation is also a part of image enhancement process. There are multiple object segmentation technique. This study also introduces a novel object segmentation technique. The proposed ANFIS based object segmentation technique is developed with an objective to differentiate multiple objects with similar color and shape in an image. For this purpose, Gabor Wavelet technique is applied for extracting the objects. The proposed work is simulated on various types of images such as face images, image of leaves, image of hands. The proposed work is simulated in MATLAB and it is observed that it outperforms the traditional technique in terms of accuracy, stability, precision and recall.