Image Feature Detection and Extraction |
Author(s): |
| Shivashankar M Rampur , Brahmdevdada Mane Institute of Technology; Gundeli Rajesh Venkatesh, Brahmdevdada Mane Institute of Technology; Gaikwad Samarth Audumbar, Brahmdevdada Mane Institute of Technology; Bollu Yogeshwar Nagnath, Brahmdevdada Mane Institute of Technology; Ande Shivtej Ramesh, Brahmdevdada Mane Institute of Technology |
Keywords: |
| Keywords Feature Detection, Feature Description, Feature Matching, Image Processing, Pattern Recognition, Computer Vision, Applications |
Abstract |
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Detection and description of image features play a vital role in various application domains such as image processing, computer vision, pattern recognition, and machine learning. There are two type of features that can be extracted from an image content; namely global and local features. Global features describe the image as a whole and can be interpreted as a particular property of the image involving all pixels; while, the local features aim to detect keypoints within the image and describe regions around these keypoints. After extracting the features and their descriptors from images, matching of common structures between images (i.e., features matching) is the next step for these applications. This chapter presents a general and brief introduction to topics of feature extraction for a variety of application domains. |
Other Details |
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Paper ID: IJSRDV7I20144 Published in: Volume : 7, Issue : 2 Publication Date: 01/05/2019 Page(s): 629-630 |
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