Color component marking and convolution-based encoding for polychromatic pattern recognition

✍ Scribed by Xiaopeng Deng; Daomu Zhao

• Book ID: 104074973
• Publisher: Elsevier Science
• Year: 2011
• Tongue: English
• Weight: 370 KB
• Volume: 43
• Category: Article
• ISSN: 0030-3992
• DOI: 10.1016/j.optlastec.2011.05.012

✦ Synopsis

A novel method for polychromatic pattern recognition is proposed based on color component marking and convolution-based encoding. Three random phase functions are first chosen as marks to multiply with the three color components of the input images. Then the three marked color components are combined into one image using convolution-based encoding. Finally, the combined images are served as the input images of the JTC to be recognized. The feasibility and effectiveness of the proposed method are demonstrated by numerical results.