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Trends Journal of Sciences Research
Article . 2015 . Peer-reviewed
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Trends Journal of Sciences Research
Article
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Morphological Image Processing GUI using MATLAB

Authors: Poonam Kumari; Sanjeev Kumar Gupta;

Morphological Image Processing GUI using MATLAB

Abstract

In this paper, we present an overview of Morphological Image Processing and edge detection using gradient based on different operators in MATLAB and developed its GUI (Graphical User Interface). This paper describes the basic technological aspects of Digital Image Processing with reference to Morphological techniques used in image processing. The word morphology commonly denotes a branch of biology that deals with the form and structure of animals and plants. Morphological processing refers to certain operations where an object is hit with a structuring element and thereby reduced to a more revealing shape . Morphology is related to the shapes and digital morphology is a way to describe and analyze the shape of a digital object in image processing. Morphological image processing GUI deals with the detection of X-Ray images and its edge detection process. The complete image processing is done using MATLAB Graphical User Interface Development Environment (GUIDE).

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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