Research on Density Peak Clustering Color-Separation Algorithm Based on SOM Neural Network

Research on Density Peak Clustering Color-Separation Algorithm Based on SOM Neural Network

Pattern images input to The knitting CAD system have a large number of different colors, and it is necessary to reduce the number of colors in the image by merging similar colors through color-separation algorithms. However, current pattern images usually have the problem of image degradation, which...

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Bibliographic Details
Main Authors: Xin Ru, Yanhao Wang, Ran Chen, Zhifa Zeng, Laihu Peng, Wei Tang, Weimin Shi, Hui Wang
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Color-separation algorithm
density peak clustering (DPC)
knitting CAD
self-organizing mapping (SOM) neural network
blind super-resolution reconstruction network
Online Access:https://ieeexplore.ieee.org/document/10829579/
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