Removing Noise in Texture using Opening Optimization in Grayscale Images
Journal Title: International Research Journal of Applied and Basic Sciences - Year 2014, Vol 8, Issue 10
Abstract
In opening applications, which is one of the basic actions in morphology, some unwanted appendices remain in images. This problem can be solved using a grayscale constituent, which is similar to the objects of a target image. Since texture images are made of small and similar elements, a grayscale constituent can be estimated for the objects in it. Estimating method optimizes a grayscale element in “Primitive, Grain, and Point Configuration (PGPC)" textures. After estimating shape of a texture, the estimation can be used as a constituent to remove noise in the texture. Such noise removing method is often superior to the classical ones.
Authors and Affiliations
Ehsan Sadeghipour| Sama technical and vocational training college, Islamic Azad University, Bandar Abbas Branch, Bandar Abbas, Iran, ehsan61.ai@gmail.com, Nasrolla Sahragard| University of Hormozgan, Assistant Professor of Faculty of Power and Computer Engineering, sahragard@yahoo.com, Zeinab bahmanzadeh| Sama technical and vocational training college, Islamic Azad University, Bandar Abbas Branch, Bandar Abbas, Iran, z.bahmanzadeh@gmail.com
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