Open AccessAutomatic Color Extraction Algorithm of Graphic Design Image Based on Artificial Intelligence
Author(s) -
Qian Zhao,
Hong Zhang
Publication year - 2022
Publication title -
international journal of circuits, systems and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.156
H-Index - 13
ISSN - 1998-4464
DOI - 10.46300/9106.2022.16.46
Subject(s) - artificial intelligence , computer science , preprocessor , color quantization , automatic image annotation , pattern recognition (psychology) , computer vision , color image , feature extraction , cluster analysis , process (computing) , image (mathematics) , image retrieval , automation , image processing , engineering , mechanical engineering , operating system
The extraction of color features plays an important role in image recognition and image retrieval. In the past, feature extraction mainly depends on manual or supervised learning, which limits the automation of the whole recognition or retrieval process. In order to solve the above problems, an automatic color extraction algorithm based on artificial intelligence is proposed. According to the characteristics of BMP image, the paper makes use of the conversion between image color space and realizes it in the visual C++6.0 environment. The experimental results show that the algorithm realizes the basic operation of image preprocessing, and realizes the automatic extraction of image color features by proper data clustering algorithm.