artificial image 中文意思是什麼
artificial image
解釋
人工假象- artificial : adj 1 人工的，人造的；人為的 （opp natural）。2 摹擬的 （opp genuine real）; 不自然的，矯揉造作的...
- image : n 1 像，肖像，畫像；偶像。2 影像，圖像。3 相像的人（或物）；翻版。4 形像，典型。5 形像化的描繪。6...
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The complex function between isochromatic fringe orders and rgb gray values of the image pixels is described by bp artificial neural network. the technique can improve the precision of experimental stress analysis in three - dimensional photoelastic thin slices
其特點是通過bp神經網路建立圖像中像素點的r 、 g 、 b顏色值與條紋級數n之間的非線性關系；可以準確地得到3級以內等色線條紋級數。 -
Because color isochromatic fringes appear in the stress model based on a plane polariscope in white light, we studied the problems systematically by a digital camera as image inputting device, digital image processing technique and bp artificial neural network. based on the work that has been reported before, a technique named five - step color phase shifting technique ( fcpst ) to acquire single isoclinics is presented
根據白光入射時應力模型在偏振儀光學系統中的等色線條紋是彩色的特點，本論文採用彩色數碼相機作為數據採集與輸入設備，結合彩色信息圖像處理和bp神經網路等新技術，對上述兩個難題進行了系統的研究，獲得以下成果：在綜合前人工作的基礎上，提出獲得全場單純的等傾角相圖的五步彩色相移法。 -
In contrast with previous approaches, the technique here introduced conquers the shortcoming of artificial corner and non - connectivity of tv model and mumford - shah model, and makes image more vivid and perfect
與以前的方法相比，這里所介紹的技術克服了整體變分模型和mumford - shah模型中出現拐角和連通性不好的缺陷，從而使圖像修描結果更加逼真完善。 -
Soccer robot system refers to many fields, such as robots, image processing, automatic control, communication, sensor and ai, etc. now it is an important experiment platform for studying multi - agent cooperation and artificial intelligence application technology
足球機器人系統涉及機器人、圖像處理、自動控制、通信、傳感以及人工智慧等領域，目前其已成為研究多智能體系統和人工智慧應用技術研究的重要實驗平臺。 -
The course is designed for graduate students and advanced undergraduate students who are interested in studying the nervous system and brain functions, as well as those studying in the areas of neuroscience and cognition, neural engineering, neural prosthesis and rehabilitation, biomedical signal processing, medical image processing, neural modeling, biological control systems, biomedical sensors, medical instrumentation and artificial intelligence
本課程的選課對象是對系統神經科學和腦功能感興趣，或者正在參與神經科學與認知、神經工程、神經修復、神經建模、生物醫學信號處理、人工智慧研究的研究生或高年級本科生。 -
The edge detection approach based on cp neural network is valid to overcome the randomness of fragment dispersing and complexity of distribution of perforation holes. applying neural network approach, the influence of the negative factors is reduced in artificial detection and statistics. in this way, the target image was detected exactly and successfully
基於cp神經網路的邊緣檢測方法有效地克服戰斗部破片穿靶試驗中破片飛散的隨機性和破片孔分佈的復雜性，從而減小了人為檢測和統計中諸多不利因素的影響，完成對靶板圖像的準確檢測。 -
Keywords : unsupervised artificial neural network, image identification, instantaneous velocity
關鍵詞：無監督式類神經網路、影像辨識、瞬時速度。 -
In this thesis, on the basis of giving a tutorial introduction to this topic, we present new visual mapping models which combine the robot work space with the image feature space tightly and new visual tracking controllers based on artificial neural network
本文在總結了目前機器人視覺伺服系統發展狀況的基礎上，通過構建新的非線性西安理工大學博士學位論文視覺映射模聽j將圖像特徵空間與機器人運動空間緊密地聯系起來，提出了基少人 -
One end face of optical fiber sample sets on the carring - table of the micr - oscope is observed, selecting appropriate amplification, afterwards, take a ph - otograph with a ccd camera, then the picture was sent to the computer by the photograph - gathering card. the image is processed with a software automatic - ally, so this method can reduce artificial errors
具體方法是：將待測光纖製成品的一段樣品橫截面置於顯微鏡下，經顯微鏡放大，選擇合適的放大倍數，然後用ccd攝像頭攝像，利用圖像採集卡將放大后的圖像採集進計算機，利用圖像處理技術，通過軟體進行處理，從而實現處理過程的完全自動化，減少人為測量誤差。 -
To get the evaluating result, a recognition quality evaluator for straight lines based on artificial neural networks has been designed. after training the neural network can work well and output the quality evaluating results. furthermore, this proposed evaluating approach is not sensitive to scanning image resolution
本文設計了一個基於人工神經網路的直線圖素識別質量評價器，網路經過訓練后可以取得類似人眼判斷的評判效果，由於各識別質量特徵因子在定義的時候一般都取的是和圖素線寬的相對比值，因此本文提出的方法對于掃描工程圖的解析度的影響不敏感。 -
Based on scientific visualization, artificial intelligence, image processing and comprehension, anthropology, computer aided facial reconstruction based on skull which towards identity recognition technology is a combination of computer science, anthropology, computational medicine, system engineering, mathematics, and arts
它是建立在科學計算可視化、人工智慧、圖像處理與理解及法醫人類學領域知識基礎上，結合了計算機、法學、計算醫學、系統工程、數學、藝術等多方面知識的面向身份認證的科學技術。 -
Pulse coupled neural network ( pcnn ) is a new generation of artificial neural networks and is characterized with adaptive image separation and adaptive image feature extraction
脈沖耦合神經網路是新一代的人工神經網路，具有優良的自適應圖像分割和自適應圖像特徵提取能力。 -
The main research fields are pattern recognition, image processing and analysis, computer vision, artificial intelligence, computational intelligence and signal processing
主要研究方向：模式識別、圖象處理與分析、計算機視覺、人工智慧、計算智能和信號處理。 -
The effect of natural background and noise in infrared image, fuzzy edge of infrared object, make it difficult to segment and label artificial object in natural background
自然背景復雜的紋理特徵和紅外圖像中的噪聲影響，以及紅外目標模糊的邊緣，給紅外目標的邊界檢測和分割帶來一定的困難。 -
Face recognition ( fr ) is a offshoot of pattern recognition. it involves several fields such as image process, computer vision and artificial intelligence
人臉識別是計算機模式識別領域里的一個分支，它涉及圖像處理、計算機視覺、人工智慧等多個領域。 -
The analysis of digital image is an effective approach based on video technology and artificial intelligence
對數字圖像的分析是基於視頻技術人工智慧的有效手段。 -
This thesis was carried out basing on the seals automatically reorganization project in a information science company of chongqing municipalization. in the paper, based on the analyzing of the mathematical models and their algorithms of kinds of artificial neural networks ( ann ), the author analyzed the algorithm of the back - propagation ( bp ) networks model, at the same time, the author improved the algorithm practically and effectively, and applied it in the recognition technique of digital image successfully
本文的研究工作是結合市內某信息科技公司的「印鑒自動識別系統」研發項目開展的，作者在深入分析了人工神經網路的各種數學模型及演算法的基礎上，重點剖析了前饋神經網路的演算法思想，對其進行了實用、有效的改進，並將它成功的應用於「圖象識別技術」 ，取得了較為滿意的成果。 -
Which allows the user to make educational or hobby - oriented items by themselves. these artificial ammonites are manufactured by capturing a photographic image of an ammonite onto the special film and pasting the film onto an ammonite - shaped cast
舉一個例子，不可思議的鸚鵡螺化石是自己動手製作的寓教於樂的商品，具體是將鸚鵡螺化石的照片製作為特殊薄膜，將薄膜貼在鸚鵡螺化石形狀的鑄件上，就做好了一件如同在教材中那樣栩栩如生的模型來。 -
The important research is about the theory and methods of the cluster analysis in view of statistical theory, the theory and methods of fuzzy cluster analysis, the fkn " s structure and the fkn ' s study algorithm ( fkn, fuzzy kohonen network ) - the organic fusion of the fuzzy c - means algorithm and self - organized feature map neural network. the paper proposes the ifkn ( improved fkn ) on the basis of the hard classification idea and the soft classification idea, then carries on the cluster analysis of the artificial synthetic control chart time series through matlab program and tt ? cluster result matches the cluster result of the famous dataengine " s software of the intellectual data analysis and data mining from german mit company. finally, the paper discusses the applying of the cluster analysis to the control process, which can be widely applied to the pattern recognition of the parameter " s changing trend during the control process and the image partition processing, and utilizes the ifkn to recognize the thermotechnical parameter " s changing trend based on the engineering of clinker sintering rotary kiln automatic control system of guizhou " s aluminium factory, through which good effect is obtained
數據挖掘技術在商業領域中已廣泛使用，然而在工業過程式控制制中的應用卻極少，本文正是在這種背景下，對數據挖掘中的聚類分析方法及其在工業過程式控制制中的應用研究作了償試，重點研究了基於統計理論的聚類分析理論和方法，模糊聚類分析理論和方法及模糊kohonen網路（ fkn ）的結構與學習演算法，即模糊c ? ?均值演算法與自組織特徵映射神經網路（ kohonen網路）的有機融合，並根據硬分類思想及軟分類思想提出了改進的模糊kohonen網路（ ifkn ） ，通過matlab編程對人工合成控制時序圖數據集進行聚類分析，其聚類效果與當今廣泛使用的數掘挖掘軟體平臺，德國mit公司著名的dataengine智能數據分析和數掘挖掘軟體的聚類效果相當，最後，論述了聚類分析在控制中的應用，它可以用於過程式控制制中的參數變化趨勢的模式識別及圖象分割處理等具體應用中，並以貴州鋁廠熟料燒結回轉窯自動控制系統為工程背景，利用ifkn識別其熱工參量變化趨勢，取得了較理想的效果。 -
Additionally, vision is an important human sense and information received by the robot ' s vision system is easier for the human operator to understand, hi the field of visually controlled robot manipulators, research has mainly focused on the control part, circumventing the problems of extracting and interpreting image features by using artificial features
另外，視覺也是人類一種非常重要的感覺，並且由機器人視覺系統得到的信息非常容易被操作人員所理解。在視覺控制的機器人的研究領域內，研究主要集中在機器人手臂的控制方法、圖像特徵的提取和理解等方面，因此導致了許多針對不同具體問題的視覺伺服方法。
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