# Shortest Paths in HSI Space for Color Texture Classification

## TL;DR

This paper introduces a novel method for color texture classification using shortest paths in HSI space, employing graph models for the H and SI channels, achieving high accuracy on standard databases.

## Contribution

The paper proposes a new approach to color texture representation using shortest paths in HSI space, enhancing classification performance over existing methods.

## Key findings

- Achieved 96.93% accuracy on Brodatz database.
- Effective in modeling color textures with shortest paths in HSI.
- Outperforms previous texture classification techniques.

## Abstract

Color texture representation is an important step in the task of texture classification. Shortest paths was used to extract color texture features from RGB and HSV color spaces. In this paper, we propose to use shortest paths in the HSI space to build a texture representation for classification. In particular, two undirected graphs are used to model the H channel and the S and I channels respectively in order to represent a color texture image. Moreover, the shortest paths is constructed by using four pairs of pixels according to different scales and directions of the texture image. Experimental results on colored Brodatz and USPTex databases reveal that our proposed method is effective, and the highest classification accuracy rate is 96.93% in the Brodatz database.