Title :
Fitting a Pineapple Model for Automatic Maturity Grading
Author :
Kaewapichai, Watcharin ; Kaewtrakulpong, Pakorn ; Prateepasen, Asa ; Khongkraphan, Kittiya
Author_Institution :
King Mongkut´´s Univ. of Technol. Thonburi, Bangkok
fDate :
Sept. 16 2007-Oct. 19 2007
Abstract :
In this paper, we present a pineapple skin model and a method to fit the model. Our main application of the model is for automatic maturity grading of pineapples in canned pineapple industry. The model consists of two subparts: Phyllotaxis and pineapple scale models. The Phyllotaxis model represents the spiral arrangement of pineapple-scales, which is a growing pattern of the fruit. It includes a string of scale-model cells. The scale model includes boundary, internal area and petal part of scale. Modified snake algorithm is used to construct the structure model while Active Shape Model (ASM) is applied to each scale. The model can accurately fit to pineapple skins in our experiment and classification features of the fruit can be extracted.
Keywords :
canning; feature extraction; food processing industry; food products; image classification; quality control; ASM; Phyllotaxis model; active shape model; automatic maturity grading; canned pineapple industry; feature classification; feature extraction; modified snake algorithm; pineapple scale model; pineapple skin model; quality control; Active shape model; Automatic control; Control system synthesis; Fitting; Instruments; Production engineering; Raw materials; Skin; Spirals; Systems engineering and theory; ASM; Phyllotaxis; Snake; pineapple skin model;
Conference_Titel :
Image Processing, 2007. ICIP 2007. IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4244-1437-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2007.4378940