臺灣博碩士論文加值系統

刺繡一直以來與人們生活息息相關，在刺繡之中所使用的線色往往是有限的，我們該如何減少影像中所擁有的顏色數量是非常重要的一個環節。此外，當原始影像之顏色下降至幾種顏色時，容易產生出許多不利於刺繡的破碎物件。因此，本論文提出降色消除破碎像素演算法CREBP(Color reduction and eliminate bitty pixels)來改善，此演算法共有兩個部分，第一部分:在分群的過程中將邊緣排除在外不進入分群，之後再重新分配顏色未分群之邊緣。第二個部分:找出破碎物件，再重新分配顏色給破碎物件。

Nowadays many pictures can be produced on the cloth by a sewing machine. However, there are some drawback must be solved, like too many colors. In addition, color down of the original pictures to a few colors will appear some fragmented objects. Therefore, this research proposes a Color reduction and eliminate bitty pixels (CREBP) algorithm. There are two parts in this algorithm: The first part is: when the picture is used by the image clustering, we exclude the edge and then let the edge recolored. The second part is: find out the fragmented objects and let it recolored again.

摘要 - 2 -
Abstract- 3 -
致謝 - 4 -
目錄 - 5 -
圖目錄 - 6 -
表目錄 - 8 -
第1章、 緒論 - 9 -
1.1 研究背景 - 9 -
1.2 研究動機與目的 - 10 -
1.3 文獻探討 - 11 -
1.4 章節概要 - 16 -
第2章、 影像處理之相關原理 - 17 -
2.1 基本色彩理論 - 17 -
2.2 影像二值化(Binarization) - 21 -
2.3 影像形態學 - 22 -
2.4 拓樸學(Topology) - 28 -
2.5 邊緣檢測 - 30 -
2.6 分群技術 - 31 -
第3章、 系統演算法 - 32 -
3.1 影像的降色處理 - 33 -
3.2 破碎物件的消除 - 39 -
第4章、 實驗結果 - 43 -
4.1 實驗環境 - 43 -
4.2 實驗結果 - 44 -
第5章、 結論 - 57 -
參考文獻 - 58 -

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