Title :
A MRA-based Color Transformation Scheme between Objects
Author :
Chuang, Kai-Wen ; Liu, Chen-Chung ; Hu, Guan-Nan ; Yu, Shyr-Shen ; Zheng, Sheng-Wen
Author_Institution :
Dept. of Electron. Eng., Nat. Chin-Yi Univ. of Technol., Taichung, Taiwan
Abstract :
Object´s colors are frequently changed for enhancing some potential features of the object for wide applications in different fields. In this paper, multiple regression analysis (MRA) is respectively conducted on the R, G, and B planes of the target and source objects to find the corresponding best fitting function of each plane. Where, target and source objects are extracted from target and source images with employing color objects extraction algorithm using multiple thresholds (COEMT), respectively. The new values of each pixel of target objects are then evaluated by using the best fitting functions. These new values are then combined into the result RGB recolored objects. The experimental results show that the presented approach has three major advantages: (i) the proposed algorithm is simple, effective and accurate in transferring color between objects without any change in the object details, (ii) the proposed algorithm is time saving, (iii) there are no restrictions in the dynamic ranges of colors of objects.
Keywords :
feature extraction; image colour analysis; object detection; regression analysis; COEMT; MRA based color transformation scheme; color objects extraction algorithm using multiple thresholds; fitting function; multiple regression analysis; object colors; source images; source objects; target objects; Algorithm design and analysis; Color; Fitting; Heuristic algorithms; Histograms; Image color analysis; Regression analysis; image; multiple regression analysis; object;
Conference_Titel :
Computer, Consumer and Control (IS3C), 2012 International Symposium on
Conference_Location :
Taichung
Print_ISBN :
978-1-4673-0767-3
DOI :
10.1109/IS3C.2012.225