Image Processing in Artificial Intelligence

Author:

Hussain Shahzeb1,Dixit Prayas1,Hussain Shaayan2

Affiliation:

1. Infosys Limited, Pune, Maharashtra, India

2. Tata Consultancy Services, Chennai, Tamilnadu, India

Abstract

Machines can learn to elucidate images the same way our brains do and analyse those images much more thoroughly than we can. When applied to Image Processing, Artificial Intelligence (AI) can propel face recognition and security functionality in public places, detecting and recognizing intruders, objects, and patterns in live images and videos, etc. Image processing technology focuses on the development of data extraction methods applied to the statistical classification of visual imagery. In classical image processing systems, an image is pre-processed to remove noise (denoising), segmented to produce close object boundaries, analysed to extract a representative feature, and compared to the ideal object feature vectors by a classifier to decide the nearest object classification and its associated level. In this paper, we discuss about digital image processing and the role of AI in it.

Publisher

Technoscience Academy

Subject

General Medicine

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