Amir Farhad Nilizadeh; Ahmad Reza Naghsh Nilchi

Block Texture Pattern Detection Based on Smoothness and Complexity of Neighborhood Pixels

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Author(s)

Amir Farhad Nilizadeh ^1,* Ahmad Reza Naghsh Nilchi ²

1. Department of Computer Engineering, Arak Branch, Islamic Azad University, Arak, Iran

2. Department of Artificial Intelligence and Multimedia Engineering, University of Isfahan, Iran

* Corresponding author.

DOI: https://doi.org/10.5815/ijigsp.2014.05.01

Received: 8 Jan. 2014 / Revised: 11 Feb. 2014 / Accepted: 6 Mar. 2014 / Published: 8 Apr. 2014

Index Terms

Image classification, Texture analysis, Block texture pattern, Texture complexity, Data hiding, LSB, PVD, Matrix pattern (MP)

Abstract

In this paper, a novel method for detecting Block Texture Patterns (BTP), based on two measures: smoothness and complexity of neighborhood pixels is proposed. With these two measures, a new classification for texture detection is defined. Texture detection with these measures can be used in many image processing and computer vision applications. As an example, the applicability of BTP on data hiding algorithms is discussed, and the advantages of this classification on these algorithms are shown.

Cite This Paper

Amir Farhad Nilizadeh, Ahmad Reza Naghsh Nilchi,"Block Texture Pattern Detection Based on Smoothness and Complexity of Neighborhood Pixels", IJIGSP, vol.6, no.5, pp.1-9, 2014. DOI: 10.5815/ijigsp.2014.05.01

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