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系統識別號 U0026-0812200915371838
論文名稱(中文) 應用區塊化影像與半遮蔽特性於視覺煙霧檢測
論文名稱(英文) Image Block Processing and Translucence for Video Smoke Detection
校院名稱 成功大學
系所名稱(中) 機械工程學系專班
系所名稱(英) Department of Mechanical Engineering (on the job class)
學年度 97
學期 2
出版年 98
研究生(中文) 詹博善
研究生(英文) Po-Shan Chan
學號 n1795115
學位類別 碩士
語文別 中文
論文頁數 73頁
口試委員 口試委員-潘文峰
口試委員-黃萬成
口試委員-侯博勳
指導教授-陳元方
口試委員-陳國聲
中文關鍵字 區塊化影像  運動累積  半遮蔽 
英文關鍵字 blocking image  accumulation  translucence 
學科別分類
中文摘要 由於傳統的火災偵測器必須充分的接觸目標物(熱或煙霧)才能致動,因此會延遲反應。視覺煙霧檢測比傳統的火災偵測器有更多的優點,例如反應快速、非接觸、大空間監視等。但是大部分的視覺煙霧檢測系統通常容易誤判,發出假警報。
通過分析煙霧的運動特徵,本研究提出區塊化影像結合煙霧運動累積與半遮蔽特性的檢測方式運用在視覺煙霧檢測。由於煙霧通常於燃燒點開始冒出,通過累積方式,找出早期火災的時空視覺特徵,並結合區塊化影像相減的方法,能有效的抑制雜訊的干擾
煙霧有會模糊物體的顏色與部份遮蔽背景的特性,在此提出一種基於分析移動區塊在RGB色彩空間的半遮蔽特性,分析RGB值增加的差異。此方法能有效的呈現出煙霧的半遮蔽特性。
檢測結果表明,結合累積煙霧向上運動與半遮蔽特性的方法,能有效的檢測出煙霧的產生。
英文摘要 Conventional fire detectors must contact these targets(heat or smoke) for being activated and, consequently, respond slowly. Video smoke detection has many advantages over traditional methods, such as fast response and non-contact, large space surveillance, and so on. But most of current methods for video smoke detection systems usually have high false alarms.
By analyzing the characteristics of smoke motion, base on blocking image, a motion accumulation and translucence combined model is proposed for video smoke detection. Because smoke often emerges continually from the place of smoldering, an accumulation model is presented to extract these temporal-spatial visual features of early fire over a time window. The model synthesizes blocking image substrate method can mostly suppress noise.
Smoke can blur colors of objects and partially obscure the object of background. After observing the phenomena, a translucence model is presented base on the RGB color space analysis of the moving block. Analysis the difference of the RGB increases intensity. And the model efficiently represents translucence of the smoke.
Experiments show that the combined accumulation and translucence model is robust and significant for the smoke detection.
論文目次 中文摘要.............................................. I
誌 謝................................................III
目 錄.................................................IV
圖目錄................................................VI
第一章 緒論..........................................1
1.1 研究背景......................................1
1.2 研究動機......................................2
1.3 文獻回顧......................................3
1.4 本文架構......................................6
第二章 物體移動偵測..................................8
2.1 區塊化處理...................................10
2.2 移動區塊檢測.................................11
第三章 煙霧向上運動累積量判斷.......................15
3.1 運動方向量累積...............................15
3.2 向上運動比例分析.............................19
第四章 煙霧半遮蔽特性...............................20
4.1 煙霧半遮蔽的色彩特性.........................21
4.2 煙霧半遮蔽與實體遮蔽的色彩特性分析...........26
第五章 檢測結果與討論...............................42
5.1 影像切割區塊大小之影響.......................44
5.2 向上運動比例分析.............................50
5.3 煙霧半遮蔽特性...............................62
第六章 結論與未來展望...............................69
6.1 結論.........................................69
6.2 未來展望.....................................70
參考文獻..............................................71
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