색상 민감성 파라미터를 활용한 비전 카메라 기반 이미지 판별 솔루션 = A Vision Camera-Based Image Classification Solution Utilizing Color Sensitivity Parameters

다국어 초록 (Multilingual Abstract)

We designed a template utilizing smartphones and vision cameras for image data collection and derived key parameters suitable for state classification based on color information. To achieve this, we selected the mean and standard deviation of the G value in the RGB channel, the L value in the HSL model, and Brightness as the core analytical elements. Additionally, to quantitatively analyze the relationship between color information and state classification, we applied the Pearson correlation coefficient, establishing a reliable classification criterion. This image state classification methodology is based on an approach that maximizes color sensitivity at the pixel level. Its validity was verified through an image processing procedure using smartphones and vision cameras with a blue filter. Based on this research, we developed a structured program capable of effective state classification and integrated it into a vision camera system, ensuring its practical applicability.