| Paper: | MA-P2.5 |
| Session: | Active-Contour, Level-Set, and Cluster-Based Segmentation Methods |
| Time: | Monday, September 17, 09:50 - 12:30 |
| Presentation: |
Poster
|
| Title: |
FITTING A PINEAPPLE MODEL FOR AUTOMATIC MATURITY GRADING |
| Authors: |
Watcharin Kaewapichai; King Mongkut’s University of Technology, Thonburi | | |
| | Pakorn Kaewtrakulpong; King Mongkut’s University of Technology, Thonburi | | |
| | Asa Prateepasen; King Mongkut’s University of Technology, Thonburi | | |
| | Kittiya Khongkraphan; King Mongkut’s University of Technology, Thonburi | | |
| 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 model. The model can accurately fit to pineapple skins in our experiment and classification features of the fruit can be extracted. |
