Analysis of Image and Video Using Color, Texture and ShapeFeatures for Object Identification

Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 6

Abstract

 Abstract: The recent developments in cognitive sciences and Artificial Intelligence has made possible theprocess of automation in object detection and recognition using various low level visual features used torepresent a standard image of an object. Our approach uses analysing the methods used by most intelligentliving entities, humans. Humans use the sense of sight and intuition to recognise objects. This paper highlightsthe methodologies that can be used to identify objects using details such as colour, texture and shape of animage to infer the object

Authors and Affiliations

Kumar Rajpurohit , Rutu Shah , Sandeep Baranwal , Shashank Mutgi

Keywords

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  • EP ID EP132096
  • DOI -
  • Views 131
  • Downloads 0

How To Cite

Kumar Rajpurohit, Rutu Shah, Sandeep Baranwal, Shashank Mutgi (2014).  Analysis of Image and Video Using Color, Texture and ShapeFeatures for Object Identification. IOSR Journals (IOSR Journal of Computer Engineering), 16(6), 29-33. https://europub.co.uk/articles/-A-132096