TWI220175B - Atmosphere visibility automatic detection and analysis technique - Google Patents
Atmosphere visibility automatic detection and analysis technique Download PDFInfo
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1220175 五、發明說明(2) 影響的重要區域’不同的觀測者之人為誤差大,且難以 —個量化的客觀單位有效表示。況且,在環境中約有6ζ〇用 的機率會落在此視程5至1 0公里的區間内,因此,、* s 值得關心的領域。 &疋個 此外,傳統目測法無法重現原觀測時空,缺乏 驗依據,最重要的是單就可分辨最大距離並無法表 民眾的主觀視覺感又’亦無法提供特徵視覺圖像。 又 除了人工目測外,亦有偵測光強度變化之儀哭,直 用光線經過大氣時被微粒吸收或散射導致強度衰^1220175 V. Description of the invention (2) Important areas of influence ′ Different human observers have large human errors and are difficult to effectively represent by a quantitative objective unit. Moreover, in the environment, the probability of about 6ζ〇 will fall within this range of 5 to 10 kilometers, so, * s worthy of attention. & In addition, the traditional visual inspection method cannot reproduce the original observation space-time, lacks the basis of experience, and the most important thing is that it can only distinguish the maximum distance and cannot express the subjective visual sense of the people, nor can it provide characteristic visual images. In addition to manual visual inspection, there are also devices that detect the change in light intensity. When the light passes through the atmosphere, it is absorbed or scattered by particles, which causes the intensity to decline ^
,減小之原理’來偵測光強度變化。然而,雖然利用ς哭 j測光強度哀減而建立能見度的評估參數具有機械精確: k點’但是無法顧及人類肉眼感官對能見度的感受性確 無法建構景觀的全面資料。 亦 因此,有必要研發新的技術以解決上述缺點。 【發明内容】 本發明之主要目的,在於提供一種大氣能見度自 測分析技術,其利用儀哭掐丨山 動偵 ώ m為偵測出一全新、客觀且精確之古 又=徵值(即能見度指標計量單位,dv),完全避免人2 測能見度時之人為誤差。 偵 、目丨、ϋ月之人目的,在於提供一種大氣能見度自動伯 測7刀析技術,其能自動偵測能見度。 偵 、、丨八=::之χ §的’在於提供-種大氣能見度自動偵 =刀〆,其可建立客觀歷史紀錄,供相關單位研究、 分析及預報用。 π九、, The principle of reduction 'to detect changes in light intensity. However, although the evaluation parameters for establishing visibility using the dimming of the intensity of photometry are mechanically accurate: k-points', it cannot take into account the human perception of the perception of the human senses for visibility. It is indeed impossible to construct comprehensive data of the landscape. Therefore, it is necessary to develop new technologies to solve the above disadvantages. [Summary of the invention] The main purpose of the present invention is to provide a self-test analysis technology for atmospheric visibility, which uses a crying instrument to detect a new, objective, and accurate ancient == significant value (ie visibility The indicator measurement unit, dv), completely avoids human error when measuring the visibility of person 2. The purpose of the detective, sight, and moon is to provide an automatic atmospheric measurement of 7-analysis technology, which can automatically detect the visibility. Detective, and eight = :: of χ § is to provide-automatic detection of atmospheric visibility = knife, which can establish objective historical records for related units to study, analyze and forecast. πIX.
第6頁 ^0175 五、發明說明(3) 能男ΐ ΐ係提供一種大氣能見度自動偵測分析技術用於 計量單位之計算方法,其包括下列步驟…) 得到二皇t / 5 ’(2)分析免度步驟;(3)計算指標步驟,而 旦壳度特徵值(Bg),此亦可稱為能見度指標計 里早位(dV,deci-View)。 勺;ΐ亦提供一種大氣能見度自動读測分析方法,其 //4驟:〇)數位影像獲取步驟;(2)影像分析步驟 建立童徵值運算步驟;(4)人工裸視測量步驟;及(5) 數4心標與目測試的相關性步驟。Page 6 ^ 0175 V. Description of the invention (3) Nengao ΐ This is a method for calculating the unit of measurement by automatic atmospheric visibility detection and analysis technology, which includes the following steps ...) to get Erhuang t / 5 '(2) Analyze the exemption step; (3) Calculate the index step, and the density characteristic value (Bg), this can also be called the visibility index meter (dV, deci-View). Ϊ́ also provides a method for automatic reading and analysis of atmospheric visibility, // 4 steps: 0) digital image acquisition step; (2) image analysis step to establish child sign value calculation step; (4) artificial naked eye measurement step; and (5) Count 4 steps of correlation between heart mark and visual test.
本發明又提供一種大氣能見度自動偵測分析裝置,其 t :ΐ像袭置’用以操取至少一X乘γ像素點數位影像, =6 /、點具有一預定之灰階值,且該觀測點與目標物之 =一目標距離⑴’又’每一數位影像包含有一目標物 區域及一相鄰該目標物區域之背景區域; 〜傢控制裝置,控制該取像裝置,以讀取及儲誃 數位影像資料; Μ 一傳輸裝置’用以傳遞上述之數位影像資料; ^ 一運算裝置,其具有一計算元件及—顯示元件,該叶 异兀件係用以依據該目標物區域之亮度值與該背景區域L 度值而算出一數位亮度特徵值(Bg),而該顯示元件係心 視出該數位亮度特徵值(B g )。The present invention also provides an automatic visibility and analysis device for atmospheric visibility, wherein t: ΐimage attack 'is used to manipulate at least one X by γ pixel digital image, = 6 /, the point has a predetermined gray level value, and the The distance between the observation point and the target object = a target distance, and each digital image contains a target object area and a background area adjacent to the target object area; a home control device that controls the image pickup device to read and Store digital image data; Μ a transmission device 'for transmitting the above digital image data; ^ a computing device having a computing element and a display element, the leaf element is used to determine the brightness of the target area A digital luminance characteristic value (Bg) is calculated from the value and the L-degree value of the background region, and the digital luminance characteristic value (B g) is visually recognized by the display element.
,本發明之上述目的與優點,不難從下述所選用實施 之詳細說明與附圖中,獲得深入瞭解。 JThe above objects and advantages of the present invention can be easily understood from the detailed description and accompanying drawings of selected implementations below. J
第7頁 1220175 五、發明說明(4) 茲以下 【實施方式 本發明 上包含三部 指標計量單 及大氣能見 首先, 技術用之能 驟· (1) 擷 像素點之數 常為0至255 該目標物區 (2) 分 值定義為目 階值係被定 (3 )計 列實施例並配合圖式詳細說明本發明於後·· ] 係為一種大氣能見度自動偵測分析技術,基本 份:大氣能見度自動偵測分析技術用之能見度 位之計算方法、大氣能見度自動偵測分析方法 度自動偵測分析裝置。 如第一圖所示,關於大氣能見度自動偵測分析 見度指標計量單位之計算方法,其包括下列步Page 7 1220175 V. Description of the invention (4) The following [Implementation The present invention includes three index measurement sheets and atmospheric visibility. First, the energy used for technology. (1) The number of captured pixels is usually 0 to 255. The target object area (2) score is defined as the eye level value is determined (3) counting examples and the detailed description of the invention will be described later in conjunction with the drawings ...] This is an automatic atmospheric visibility detection and analysis technology, the basic parts: Atmospheric visibility automatic detection and analysis technology uses the calculation method of visibility level, atmospheric visibility automatic detection and analysis method and automatic detection and analysis device. As shown in the first figure, regarding the automatic detection and analysis of atmospheric visibility, the calculation method of the visibility index measurement unit includes the following steps
取影像步驟11 :請參閱第二圖,先取得一 X乘Y 位影像,每一像素點具有一預定之灰階值(通 間),其中至少包含一目標物區域51及一相鄰 域51之背景區域52 ; 析亮度步驟1 2 :將該目標物區域51之平均灰階 標物亮度值(B t ),而該背景區域52之平均灰 義為背景區域亮度值(Bb); 算指標步驟1 3 :代入下列公式 = log \Bt - Bb 1 BbImage acquisition step 11: Please refer to the second image, first obtain an X by Y bit image, each pixel has a predetermined gray level value (pass), which includes at least a target area 51 and an adjacent domain 51 Background area 52; analysis of brightness step 12: the average gray level target object brightness value (B t) of the target area 51, and the average gray meaning of the background area 52 is the background area brightness value (Bb); calculation index Step 13: Substitute the following formula = log \ Bt-Bb 1 Bb
而得到一數位亮度特徵值(B g ),此亦可稱為能見度 指標計量單位(dV,deci-View)。 其次,關於本發明之大氣能見度自動偵測分析方法, 請參閱第三圖,其包括下列步驟:A digital brightness characteristic value (B g) is obtained, which can also be called the visibility index measurement unit (dV, deci-View). Secondly, regarding the method for automatically detecting and analyzing atmospheric visibility according to the present invention, please refer to the third figure, which includes the following steps:
1220175 五、發明說明(5) 點選址211及 以擷取一X乘γ 點具有一預定 標距離(L ); 影像先進行影 以選出一影像 物區域5 1之背 域進行像素積 公式1220175 V. Description of the invention (5) Point selection 211 and to capture an X times γ point has a predetermined target distance (L); the image is first shadowed to select an image. The back area of the object area 51 is used for pixel product formula.
n ^ 、數位影像獲取步驟21 :先進行觀測 物選定212 ’並進行取像條件設定213, *素點數位影像,如第二圖所示,每一像素 之灰階值’且該觀測點與目標物之間有一目 二、影像分析步驟22 :對所擷取之數位 像轉換傳輸221,再進行影像區域選擇222, 區戈包δ有一目標物區域5 1及一相鄰該目標 π區域5 2,分別對該目標物區域及該背景區 分運算223 ; ^ 二、免度特徵值運算步驟2 3 ··代入下列 logn ^, digital image acquisition step 21: first select the observation object 212 'and set the imaging conditions 213, * prime digital image, as shown in the second figure, the grayscale value of each pixel' and the observation point and There are two targets between the objects. Image analysis step 22: The captured digital image is converted and transmitted 221, and then the image area is selected 222. The area package δ has a target area 5 1 and an adjacent target π area 5 2, respectively, the target area and the background distinguish operation 223; ^ Second, the degree-free feature value calculation step 2 3 ·· Substitute the following log
\AiIA\ AiIA
Bb 而得到一數位亮度 指標計量單位(dV,dec 四、 人工裸視測量 值; 五、 建立數位指標 述步驟並對不同目標距 取得不同之相對應亮度 關係之關連性,該關連 該A及B分別為一第一係 數(A)係為-〇·2186,且 當然,所量到的第 特徵值(B g),此亦可稱為能見度 i-View); 步驟24 :以人工裸視來觀測能見度Bb to get a digital brightness index unit of measurement (dV, dec IV, artificial naked eye measurement; five, to establish a digital index step and to obtain different correlations between the corresponding brightness relationship between different target distances, the relationship between the A and B A first coefficient (A) is -0 · 2186, and, of course, the measured eigenvalue (B g), which can also be referred to as visibility i-View); Step 24: Artificial naked eyes Observation visibility
與目測試的相關性步驟2 5 ··重覆上 離(L)之目標物進行偵測,並分別 特徵值(B g ),而得到一約呈線性 性係為(B g ) = ( A) * ( L ) + ( B),其中 數及-第二係數。其中,該第一係 第一係數(B )係為+ 2 · 7 〇 3 5。 一係數(A)及第二係數(B)值均會隨 1220175 五、發明說明(6) 在=同的地區之改變。在此可概略估算其主要分佈範圍·· 該第一係數(A)係為约介於_01至-0.3之間,而該第二係 數(B)約介於+ 2.〇至+ 4.0之間。 另外’此線性關係係由落在能見度5公里至1 〇公里之 間的眾多數據中統計歸納出,如前所述,此5至丨〇公里之 區間是介於能見度不良與能見度相當良好之間的糢糊地帶 ’在環境中約有6 0 %的機率會落在此點,所以,本發明可 以客觀、精確、有效表示出此一區間之能見度狀態。Relevance to the eye test Step 2 5 ·· Repeat the detection of the target from the (L), and the characteristic value (B g) respectively, and get a linear system of (B g) = (A ) * (L) + (B), where the number and-the second coefficient. Wherein, the first coefficient and the first coefficient (B) are + 2 · 7 0 35. The values of the first coefficient (A) and the second coefficient (B) will change with 1220175 V. Description of the invention (6) in the same region. Here you can roughly estimate its main distribution range. The first coefficient (A) is between _01 and -0.3, and the second coefficient (B) is between +2.0 and +4.0. between. In addition, this linear relationship is statistically summarized from the many data that falls between 5 km and 10 km of visibility. As mentioned earlier, the interval between 5 km and 0 km is between poor visibility and fairly good visibility. In the environment, there is a 60% probability that the fuzzy zone will fall at this point. Therefore, the present invention can objectively, accurately, and effectively show the visibility state of this interval.
關於本發明之實體裝置,請參閱第四圖,其包括: 斤一取像裝置31,用以擷取至少一X乘γ像素點數位影像 ’每一像素點具有一預定之灰階值,且該觀測點與目標物 (第四圖所示有三個目標物35A、mb、35C)之間有一目標 距離(L) ’又,每一數位影像包含有一目標物區域51及一 相鄰該目標物區域51之背景區域52 ; 一影像控制裝置3 2,控制該取像裝置3 1,以讀取及儲 存該數位影像資料; 一傳輸裂置33,用以傳遞上述之數位影像資料,可為 網際網路(Internet),最為有效、經濟又方便;Regarding the physical device of the present invention, please refer to the fourth figure, which includes: an image capturing device 31 for capturing at least one X by γ pixel digital image; each pixel has a predetermined gray level value, and There is a target distance (L) between the observation point and the target object (three target objects 35A, mb, and 35C shown in the fourth figure). Moreover, each digital image includes a target object region 51 and an adjacent target object. Background area 52 of area 51; an image control device 3 2 that controls the image pickup device 31 to read and store the digital image data; a transmission split 33 for transmitting the above digital image data, which can be Internet Internet (Internet), the most effective, economical and convenient;
一運算裝置34,其具有一計算元件341及一顯示元件 2 ’。該計算元件係用以依據該目標物區域之亮度值與該 为景區域党度值而算出一數位亮度特徵值(Bg),而該顯 不兀件係顯視出該數位亮度特徵值(B 8 )及對應之數位影 像資料。 關於本發明之實際偵測,簡述如下:A computing device 34 has a computing element 341 and a display element 2 '. The computing element is used to calculate a digital brightness characteristic value (Bg) according to the brightness value of the target area and the party degree value of the scene area, and the obscure component displays the digital brightness characteristic value (B 8) and corresponding digital image data. The actual detection of the present invention is briefly described as follows:
1220175 五、發明說明(7) 首先,先選定一個四週目標物瞭望方便處,在建築物 屋頂或觀測坪均可,例如;以高雄港旁之建築物為目標物 (參閱附件一);或是以台中港務大樓屋頂為基點,向東可 以大肚山頭為目標物,向西可以西部海岸線或火力發電廠 之目標物。取像時間可以配合氣象站觀測員之例行觀測, 於每日的8:00、9:〇〇、H:00、14:00及17:00五個時間取 像,連續兩週。1220175 V. Description of the invention (7) First, select a surrounding object to look around conveniently, either on the roof of the building or the observation deck, for example; take the building next to Kaohsiung Harbor as the target (see Annex 1); or Taking the roof of Taichung Port Affairs Building as the base point, you can target Datu Shantou in the east and the target in the west coastline or thermal power plant to the west. The acquisition time can be matched with the routine observation of the weather station observers, and the images are taken at five times of 8:00, 9: 00, H: 00, 14:00 and 17:00 daily for two consecutive weeks.
所取得之數位影像,目標物區域5丨及背景區域5 2分別 可以計算出其平均灰階度值,將該目標物區域51之平均灰 階值定義為目標物亮度值(B t ),而該背景區域5 2之平均 灰階值係被疋義為背景區域亮度值(Bb),代入上述之公 式後,即可求得一數位亮度特徵值(B g ),此亦可稱為能 見度指標計量單位(dV,deci-View),因此,可以精確、 客觀的表示能見度之程度。 配記錄,則可 此為本發明之 目標距離L = 5. 能見度相關性 性關係之公式 未來將朝 於視覺感官與 園、自然保育 後集以及季節 同時配 發現兩 實測數 3公里) 。所以 ,將其 全自動 能見度 區、交 性多霧 者間具 據,其 之數位 ,更可 關連性 化網路 敏感地 通要點 區,除 ^ «t* Kj 有一關連 係顯示出 特徵亮度 進一步由 具體表示 遙控操件 區,包括 (海港、 了偵測顯 度偵測數據,兩者搭 性。如第五圖所示, 南雄地區某一焉樓( 值與所處環境之目測 統計方式推導出一線 〇 設計,係可設置在對 各級氣象站、國家公 機場),都會區交通 示其大氣能見度數值For the obtained digital image, the average grayscale value of the target area 5 丨 and the background area 52 can be calculated respectively. The average grayscale value of the target area 51 is defined as the target brightness value (B t), and The average gray level value of the background area 52 is defined as the background area brightness value (Bb). After being substituted into the above formula, a digital brightness characteristic value (B g) can be obtained, which can also be referred to as a visibility index. Unit of measurement (dV, deci-View), so the degree of visibility can be accurately and objectively expressed. Matching the record, this can be the target distance of the invention L = 5. The formula of the relationship of visibility correlation. In the future, the visual senses and the garden, the post-conservation episode, and the season will be found at the same time. Therefore, the automatic visibility zone and the interstitial fog can be used as evidence, and its digits can be more sensitively connected to the key points of the sexualized network. In addition to ^ «t * Kj, there is a relationship showing the characteristic brightness and further by It specifically indicates the remote control operation area, including (the seaport, the detection visibility detection data, and the compatibility of the two. As shown in the fifth figure, the value of a certain tower in the Nanxiong area and the surrounding environment are derived by visual statistical methods. Out-of-the-line design, which can be set at the weather stations at all levels and the national public airport), the metropolitan area traffic shows its atmospheric visibility value
1220175 五、發明說明(8) ,並建立當地環境特性圖譜,供媒體(網路或電 圖像歷史紀錄’亦可供進一牛胡杏 、 傳播與 像之主觀好惡。μ y調查人類視覺料能見度圖 綜上所述,本發明之優點及功效可歸納為: 工谓測能見度時之人為誤差。本發明在伯 ,疋利用儀器偵測出一全新、客觀且精 :: 貝din,X禮办入、 dv,類似噪音之計量單位分 / 70王避免人工觀測時之主觀意識及人為誤差1220175 V. Description of the invention (8), and establish a map of local environmental characteristics for the media (historical records of the Internet or electric images' can also be used to enter the subjective dislikes of cattle and apricots, transmission and images. Μ y investigate the visibility of human visual materials To sum up, the advantages and effects of the present invention can be summarized as: human error when measuring the visibility by means of work. In the present invention, a new, objective and precise method is detected by using an instrument in Bo: din, Din X Input, dv, noise-like measurement unit points / 70 Wang to avoid subjective consciousness and human error during manual observation
同^者、、不同時間、不同週邊環境所導致的誤差 寻),更I以達到人工偵測所無法達成之精確度。 $,丨处[f =自動偵测。本發明若搭配成整個系統,則可達 輩二Λ ”目的,甚至,可利用網際網路同時供多個 大巾5 保、觀光、交通、研究單位)及民眾觀看, 展;:声?、二特別是,可與氣像單位之資料結合,以發 、月又^以^賴之大氣能見度預報機制。 資斜H Ζ ί ί客觀歷史紀錄。由於本發明能記錄能見度 建立久二;貝1,亚可儲存供曰後分析或研究用,所以可 二,此見度歷史資料,並進一步能進行不同區域 %境圖像識巧建構相關性的依據。 範圍。 7間早修改與變化皆不脫離本發明之精神與 碹、t成、,f、田发明,可使热知本項技藝者明暸本發明的 確可達成可述目的,實已符合專利法之規定,爱提出發明 1220175 五、發明說明(9) 專利申請。 【附件】 附件一:高雄地區某一高樓為目標物之數位影像照片It can also be used to find errors caused by the same, different time, and different surrounding environments), and to achieve an accuracy that cannot be achieved by manual detection. $, 丨 处 [f = auto-detection. If the present invention is combined into an entire system, the purpose of the second generation can be achieved. Even, the Internet can be used for viewing, exhibition, and exhibition of multiple large-scale towels, tourism, transportation, and research units at the same time. In particular, it can be combined with the data of aerial imaging units to develop the atmospheric visibility forecasting mechanism based on monthly, monthly, and remotely dependent data. Zi Xie H Z ί ί objective historical records. Since the present invention can record the visibility for a long time; 2 Yake can be stored for post-analysis or research purposes, so two, this visibility historical data, and further can be used as a basis for constructing correlations between different areas of imagery and understanding. Scope. 7 early modifications and changes are not Departing from the spirit of the present invention and the invention of 碹, t 成,, f, and Tian, we can know that this artist knows that the present invention can indeed achieve the descriptive purpose, and it has actually met the provisions of the Patent Law. I love to propose invention 1220175 V. Invention Explanation (9) Patent application [Annex] Annex 1: Digital image photo of a high-rise building in Kaohsiung as the target
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