# MCITF2

**Repository Path**: wang_junpu/MCITF2

## Basic Information

- **Project Name**: MCITF2
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 1
- **Created**: 2020-06-22
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# MCITF
source code for our paper [Saliency detection for strip steel surface defects using multiple constraints and improved texture features](https://www.sciencedirect.com/science/article/abs/pii/S0143816619317361) by Guorong Song, Kechen Song and Yunhui Yan.

**The code is run on Matlab 2018a on Windows 10/64 bit**

**Lower version of Matlab may cause several errors**

Usage:
1. put the test images into file '\Image'
2. run 'demo_MCITF.m'
3. the output saliency maps are stored in the file '\OUT'

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Note: 
1. The file 'Results' contains the experimental results of all the methods presented in our paper.
2. The file 'SD-saliency-900' contains the source images of strip steel and the corresponding the pixel-wise binary maps (ground truth).