| Summary: | 碩士 === 國立交通大學 === 機械工程系所 === 94 === Posies are normally presented to consumers in batches. The appearances of these have powerful effect on consumer decision. For this reason, oncidium grading system using pattern recognition is considered. The oncidium shape is segmented from original image. It’s a tree-like image. The “Branch-based region growing” algorithm is applied. It figures out vertices of tree-like image. In this paper, the morphological thinning and branch analysis are presented for solving ambiguous touch and case of crossed branches. After some simplifications and calculation, feature parameters such as length of trunk, length of each branch, count of branch etc. are extracted. Experimental results from artificial and real image are included to demonstrate the validity of the proposed grading methods.
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