Texture Images Classification using Secant Lines Segments Histogram

Mie Mie Tin; Pyae Phyo Thu; Ei Phyu Win

Title:
Texture Images Classification using Secant Lines Segments Histogram

Authors:
Ei Phyu Win | Mie Mie Tin | Pyae Phyo Thu

Cite This Article :

Ei Phyu Win | Mie Mie Tin | Pyae Phyo Thu "Texture Images Classification using Secant Lines Segments Histogram" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5, August 2019, pp.2607-2609, URL: https://www.ijtsrd.com/papers/ijtsrd27984.pdf

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Abstract :
Texture classification is the process to classify different textures from the given images. The aim of texture classification is to classify the category of a texture image. To design an effective algorithm for texture classification, it is essential to find a set of texture features with good discriminating power. This paper presents a texture classification system using secant lines segments histogram and Euclidean Distance. Secant lines segments histogram is used to generate the features from texture images as a histogram. These features offer a better discriminating strategy for texture classification. These features are first used for training and later on for classifying the texture images. Euclidean Distance is used for distinguishing each of the known categories for classification.

Keywords :
texture classification; secant lines segments histogram; Euclidean distance.

Publication Details:

Unique Identification Number : IJTSRD27984

Published In : Volume-3 | Issue-5, August 2019

Page Number(s) : 2607-2609

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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