World Journal of Engineering Research and Technology

Ankur Shukla*, Tushar Deshmukh, Dr. Suhas Satonkar

ABSTRACT

The most crucial thing in computer vision or image processing could be the concept of feature extraction. It involves transforming the raw image data into compact and more meaningful representations of the image. These representations are known as features. The process in-volves encoding the image information like the content of the image, characteristics of an image or the structure of the image. These features are required for every task we do in computer vision like objectdetection, image classification, image retrieval, image alignment, image stitching and so on. So, it is a basic need that one can extract the feature in an accurate and efficient way but at the same time, one has to consider the exactness and relevancy of the feature as per the need of the application. The urge to get more precise and relevant features drives the development of new and modified algorithms and methods for feature extraction. Here is an attempt to col-lect and study the various methods for feature extraction of an image.

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