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Morphology Based Approach for Detection and Extraction of Blinking Region Scene from GIF Images

Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.3, No. 1)

Publication Date:

Authors : ; ;

Page : 72-77

Keywords : Blinking images (.gif); Priwit Edge detection Operator; morphology; recall rate; precision rate.;

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Abstract

The aim of this thesis is to implement an approach and the region Extraction of blinking scene in graphical interchange format images, to discover the new developed method which is efficient for it. It is a very tedious task in image mining research area for extracting a blinking region under variations of any type or size of natural blinking image. The aim of this research is to solve this problem by introducing a new approach called Morphology based technique for Detection and Extraction of blinking Region from graphical interchange format Images which is more efficient for region extraction and edge detection of blinking scenes into any type of graphical interchanged format image edge based and connected component Here we are using the edge based region extraction procedure which helps in detecting and extraction of blinking portion and also in determining the precision rate and recall rate of blinking scenes of any animated image.

Last modified: 2014-09-15 22:30:10