DocumentCode
736259
Title
2D basic shape detection and recognition using hybrid neuro-fuzzy techniques: A survey
Author
Chauhan, Parul C. ; Prajapati, Ghanshyam I.
Author_Institution
Department of Information Technology, Shri S´ad Vidya Mandal Institute of Technology, Bharuch 392-001, Gujarat, India
fYear
2015
fDate
24-25 Jan. 2015
Firstpage
1
Lastpage
5
Abstract
Image processing is mostly used in every area. The basic 2D shape refers to identify a location and register components of a particular object. The goal of basic 2D object detection is to identify the basic geometric shape of object present in image. In real world, Shape detection use in many area like developing intelligent system, face recognition, facial expression recognition, in medical. It uses some techniques and algorithms to detect object from the given image. This paper reviews the recent edge detection and shape recognition techniques also survey the techniques for edge detection and shape recognition that have proposed over the past decades. Edge detection and shape recognition is a challenging research topic to increase the richness of image processing area.
Keywords
Face recognition; Image edge detection; Image segmentation; Noise measurement; Object recognition; Shape; Edge detection; Image processing; Shape recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical, Electronics, Signals, Communication and Optimization (EESCO), 2015 International Conference on
Conference_Location
Visakhapatnam, India
Print_ISBN
978-1-4799-7676-8
Type
conf
DOI
10.1109/EESCO.2015.7253940
Filename
7253940
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