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
Link To Document :
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