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頁籤選單縮合
題名 | An Analysis and Identification of Color Line Screen Images by use of A Machine Vision System=機器視覺系統分析和辨認彩色線 影像 |
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作 者 | 胡光庭; 許超雲; 林彥正; | 書刊名 | 大同學報 |
卷期 | 22 1992.11[民81.11] |
頁次 | 頁29-38 |
分類號 | 448.94 |
關鍵詞 | 系統分析; 彩色; 視覺; 影像; 機器; 辨認; |
語文 | 英文(English) |
中文摘要 | 現有映管的裝配方式急待改善,其中一項是準確辨認顏色的重合。我們建議下述 程序可以有效克服此一問題。使用一機器視覺系統辨認原始影像資料,根據「紅綠藍」和「 色調相強度」顏色座標系統將資料分成個別顏色組。然後應用現有方法-像是修改的 Hough 轉換法,進行線搜尋。或是用我們的方法,計算每一行有效點的數目,決定該行是否有線。 量測各線之間的距離後,即可評估顏色重合的程度。以各種實際情況測試此一程序,結果相 當好。 |
英文摘要 | There is an urgent need to update the existing forms of CRT assembly. One particular area for consideration is the accurate identification of monitor color-overlapping. Our proposal suggests that the following procedures can be successfully implemented and can be effective in overcoming the problem of monitor color-overlapping. A Machine Vision System is used for identifying original image monitor screen data and then separating this data into individual color groups, based upon the RGB and HSI color coordinate systems. Then a line search would be conducted utilizing such existing methods as a modified Hough transform or by using our line search method. The MVS method counts the number of valid points, in each column, in order to determine if a line is present. Based upon resulting data, line distance can be then measured. Evaluation of monitor assessments can then be performed. Actual case studies have been used to test the MVS procedure. Results have been positive to date. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。