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Intelligent Detection Method for Maximum Color Difference of Image Based on Machine Learning

  • Jia WangEmail author
  • Qian Zhang
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 302)

Abstract

There is color difference in the image collected under the background of night light. Machine learning and fusion tracking compensation method are used to detect and process the maximum color difference of the image, so as to improve the imaging quality of the image. A maximum color difference detection algorithm for nightlight background color difference image based on machine learning and fusion tracking compensation is proposed. Firstly, image feature acquisition and color difference feature blending preprocessing are carried out, image machine learning and fusion tracking compensation are carried out, and image color difference detection algorithm is used for image color difference smoothing and adaptive blending. The background color difference image of night light is automatically divided into target space by feature clustering, and the maximum color difference detection of the detail features of the image is carried out to the greatest extent. The simulation results show that the algorithm has high accuracy and good color difference resolution.

Keywords

Machine learning Night light background Image Maximum color difference Intelligent detection 

Notes

Acknowledgement

High Level Backbone Major of Higher Vocational Education in Yunnan Province—Construction Project of Major in Print Media Technology.

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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Authors and Affiliations

  1. 1.Mechanical Engineering CollegeYunnan Open UniversityKunmingChina

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