視覺式檢測器 的英文怎麼說

中文拼音 [shìjiàoshìjiǎncèqì]
視覺式檢測器 英文
visual detector
  • 視 : Ⅰ動詞1. （看） look at 2. （看待） regard; look upon 3. （考察） inspect; watch Ⅱ名詞（姓氏） a surname
  • 覺 : 覺名詞（睡眠） sleep
  • 式 : 名詞1 （樣式） type; style 2 （格式） pattern; form 3 （儀式; 典禮） ceremony; ritual 4 （自然科...
  • 檢 : Ⅰ動詞1 （查） check up; inspect; examine 2 （約束; 檢點） restrain oneself; be careful in one s c...
  • 測 : 動詞1. （測量） survey; fathom; measure 2. （測度; 推測） conjecture; infer
  • 器 : 名詞1. （器具） implement; utensil; ware 2. （器官） organ 3. （度量; 才能） capacity; talent 4. （姓氏） a surname
  • 視覺 : [生理學] vision; visual sense; sense of sight; visus; sight; optesthesia
  • 檢測器 : detector
  • 檢測 : check; detection; test; gauging; detecting; sensing; [工業] checkout; measuring
  1. The comprehensive seeding accuracy testing method proposed in this dissertation to test performance of precision seeder, grain drill seeder, hill - drop planter, seeding monomer, and seed sowing device is an integrative one with technology of computer vision, patter recognition, and automatic control

    本文提出的適用於精密播種機、穀物條播機、穴播機，及排種器等多類型播種機具的播種精度檢測方法，是集計算機視覺、模式識別、自動控制為一體的綜合技術。
  2. Firstly, the paper, combining the characteristic of synchronous pulse bursts and inhibition with the modified pcnn model, presents a way of finding the foveation points in the images adaptively and effectively, and simulates the human vision system. secondly, pcnn is extended to pcnns, based on the properties of information couple and transmission, an algorithm that is used to fuse images of the same target got by several sensors to an image is presented to simulate the human vision system. thirdly, combining the properties of synchronous pulse bursts, capture, and transmission and competition of waves, the paper presents two ways of classification, one is an algorithm based on the properties of neuron to capture and inhibit to classify the data taking on any complex unlinear distribution robustly, the other is based on the restricted distance and modified of the former to remove the influence of inferior samples in classification ; fin ally, based on the accumulative difference pictures, and the forming and transmission of pcnn wave, selecting and controlling the direction of autowave by connecting the neighbouring neurons selectively, the paper presents a way to simulate the tracks of moving object and detect the moving direction

    首先結合pcnn的同步脈沖發放和側抑制特性，提出了基於改進型pcnn的圖像凹點檢測演算法，該演算法是一種自適應而有效的圖像凹點檢測方法，並且較好地模擬了人類視覺系統；然後，結合信息傳遞和信息耦合特性，將pcnn擴展成pcnns （ pcnn網路群） ，提出了一種基於pcnns的圖像融合演算法，能夠將多個傳感器獲取的同一目標的圖像信息融合到一幅圖像中，有效模擬了人類視覺系統；另外，結合pcnn的同步脈沖發放特性、捕獲特性和波的傳播競爭特性，開拓地將pcnn用於模式分類中，提出了基於耦合神經元點火捕獲抑制特性的分類方法和改進的約束距離下的pcnn分類方法，前者可實現對樣本空間中任意復雜分佈訓練樣本的穩健非線性分類，而後者能夠消除訓練樣本中刺點對分類的影響；最後，結合累積差分圖像思想、 pcnn波的形成與傳播特性，通過各神經元之間連接取向來選擇與控制自動波的流向，將pcnn用於運動視覺分析中的運動軌跡模擬及運動方向檢測。
  3. The application research on intelligent glue - robot vision system is presented in this paper, and the system applies some key technologies such as pattern recognition, numerical control ( nc ) code generation based on image & glue line quality detection, etc

    摘要對塗膠機器人智能系統的視覺部分進行了應用研究，系統引入了模式識別、基於圖像的nc代碼生成、膠線表面質量檢測等關鍵技術。
  4. The other way, theoretical analysis of weld tracking system with a leading sensor is stated, based on the analyzing of movement process of the tracking system, a loop control structure diagram is presented, the deuce vision feedback system is used and realized the repeated and automatic tracking in multiplayer seam and controlling of system of tracking and system of motion

    同時就傳感器超前檢測式焊縫自動跟蹤系統進行了深入的理論分析，在分析該系統跟蹤過程運動關系的基礎上，建立了系統的閉環控制關系圖，並提出了其系統數學離散控制結構簡化圖。採用兩點式視覺伺服反饋系統，實現機器人在多層多道焊接時的重復自動跟蹤以及跟蹤機構的控制和焊炬橫向調節機構的控制，並使之協調聯動，滿足焊接過程的要求。
  5. Based on the characteristics of vehicle structure, the paper presents the check technique for traffic vehicle from the remote sensing images, introduces the transformation process from the grey scale of image to the dual value image, and finally expounds the marginal check ( contour tracing ), image dividing, mode distinguishing and the vision of machine

    摘要在分析固定場景中車輛圖片結構特徵的基礎上，提出了從遙感圖中檢測車輛的方法，具體介紹了將遙感灰度圖像轉換為二值圖像，並進一步闡述了邊緣檢測（輪廊的跟蹤） 、圖像分割、模式識別、機器視覺等作用。
  6. Including the testing of the validity of sensor data and the adapting of the q matrix in reai - time, the kalman filter is researched to improve the real - time, precision and robust of navigation system. with this method, the disturbances resulted from the many uncertainties in non - structure agricultural environment can be overcome, the movement of road line can be followed in the image space so that the technology of visual window can be used, the current measured state of wheeled mobile robot can be substituted by the predicted state to increase the real - time of control system

    包括傳感器數據有效性檢驗、 q陣自適應實時調整等內容，詳細地研究了利用擴展卡爾曼濾波理論改善導航系統實時性、精確性和可靠性的具體方法，以克服農田非結構化自然環境里存在的多種不確定因素給導航系統造成的干擾，跟蹤圖像空間中路徑目標的運動而便於有效地利用視覺窗口技術，提供輪式機器人狀態的預測值代替實測值進行導航控制來改善控制系統的實時性等
  7. The methods of detecting the road followed by agriculture wheeled mobile robot guided by machine vision are researched which are based on region segmentation and edge detection respectively

    深入探討了基於區域和邊緣兩種農用輪式移動機器人視覺導航跟蹤路徑的檢測方法。
  8. Based on developing of vision recognition system of micro - robot world cup soccer tournament, this dissertation is devoted to investigating some related techniques in computer vision, which include edge detection and contour tracking, conventional calibration techniques, self - calibration techniques, implicit calibration based on artificial neural networks

    本文以足球機器人視覺識別系統的開發為主要的工程應用背景，對邊緣檢測和輪廓跟蹤演算法、傳統標定技術、自標定技術、隱式標定技術等相關技術進行深入研究。
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