Color-based automatic quality control for roasting chicken
Abstract
© 2016 Elsevier B.V. In this paper, we develop a color-based automatic control system for roasting chicken industry by using the modern Combi Oven and new image processing techniques. Firstly, we embedded a video camera into the Combi Oven and design a color monitoring system. Secondly, a new segmentation technique based on level set approach is developed. Thirdly, a new color indicator is defined for color quality control. Finally, extensive experiments have been conducted to validate the proposed segmentation approach and the effectiveness of the developed system.
Citation
Ji, B. and Wang, J. and Liu, W. 2016. Color-based automatic quality control for roasting chicken. Computers and Electronics in Agriculture. 123: pp. 49-56.
Source Title
Computers and Electronics in Agriculture
ISSN
School
Department of Computing
Collection
Related items
Showing items related by title, author, creator and subject.
-
Li, Billy Y.L. (2013)One of the most important advantages of automatic human face recognition is its nonintrusiveness property. Face images can sometime be acquired without user's knowledge or explicit cooperation. However, face images acquired ...
-
Li, Billy; An, Senjian; Liu, Wanquan; Krishna, Aneesh (2011)Finding a good color space is one of the main research goals for color face recognition. Existing research shows that RGB can improve over gray-scale, while some other color spaces (YQCr for instance) can improve over ...
-
Lim, Hann; Ang, L.; Seng, K. (2008)This paper presents a robust face segmentation method dealing with the illumination problem effectively on color images. In color images, skin color is an important cue for face segmentation. Two sets of skin color data ...