camera noise 中文意思是什麼

camera noise 解釋
攝像機雜波
  • camera : n. 1. （pl. cameras） 【攝影】照相機；電影攝影機；電視攝像機；暗箱；暗房。2. （pl. camerae ） 【法律】法官室。3. 羅馬教廷的財政部。
  • noise : n 1 聲音，聲響。2 叫喊；嘈雜聲，噪音；喧鬧聲；吵鬧，騷動，騷擾。3 〈古語〉謠言，風聲。4 〈美國〉...
  1. Using the way combining the mathematic morphology top - hat and gauss matched filtering can effectively reduce the influence of the inherent fovea and the marginal noise brought forth by the retinal camera caliber in retinal image and increase the precision of retinal image segmentation and feature point extraction

    文中提出了採用灰度數學形態學中的top - hat變換和高斯匹配濾波相結合的方法，用來有效的降低視網膜熒光圖像中固有的小窩現象及眼底照相機的口徑所引起的視網膜圖像邊界像素噪聲，極大的提高了圖像分割及特徵提取的精度。
  2. In the course of image preprocessing, digital face images are captured with a numeral camera and these images are transformed to 8 bit from 24 bit. then the noise in face images are removed by using the method of median filter and the face images are binarized. finally the face in each face image are segmented with the method of integration projection, then standardized

    在圖像預處理過程中，首先利用數碼相機獲取人臉數字圖像，然後將24位圖像轉換成256級灰度圖像，並利用中值濾波的方法對圖像進行去噪處理，接著對圖像進行二值化處理，最後採用積分投影的方法將人臉分割出來並進行歸一化，最終得到標準人臉圖像。
  3. In this dissertation, the radiometric calibration of camera was performed, and researched the influence of non - uniformity of sensors response to calibration, calibration precision was improved by reducing the influence of random noise to calibration by processing the data of calibration by using wiener filtration. the radiometric calibration coefficients are determined by measuring the output data of camera and the temperature of blackbody

    本文對紅外相機進行輻射定標，研究了探測器響應的非均勻性對定標的影響，並通過採用wiener濾波技術對所採集的數據進行濾波處理，減小隨機噪聲對定標的影響，提高了定標的精度，最後通過測量黑體溫度和相機輸出數據完成紅外相機輻射定標。
  4. In this paper, it gives the mechanism of charge - coupled devices and its plane borehole pattern, and show how the digital camera work. 2. it studies the reconstruction algorithm for digital camera. the theory of color is firstly introduced, then algorithm are studied in this paper, these algorithm are subtracting of fix - pattern noise, color reconstruction auto gain control algorithm and auto white balance algorithm, then designed a download soft for digital camera

    首先對顏色理論作了簡單的介紹，然後根據數碼相機的工作過程對各階段所用的圖像處理演算法進行了研究，這些演算法包括固定圖案噪聲的去除演算法、自增益控制演算法、白平衡調整演算法、顏色重建演算法以及灰度拉伸演算法，最後利用這些演算法開發了一個數碼相機的下載軟體。
  5. Using device noise profiles, neat image is adapted to almost any input device ? digital camera, scanner, etc

    使用裝置噪音描繪，整潔的圖像被適應幾乎任何的輸入裝置?數碼相機，掃描儀，等等。
  6. This algorithm needs a height map and the camera ' s information. light map is used to adjust the surface ' s brightness that avoids some noise effect due to the phong lighting mode. all these strategies are let to the effort to improve the render application ' s reality

    採用lod技術，當繪制較遠處的物體時使用簡化的模型，並採用粗略的紋理采樣技術，繪制近處的物體時使用詳細的模型，並採用線性采樣，這種技術符合人們觀察物體的習慣，大大縮小了計算量。
  7. Most of the camera have noise reduction program and it is quite effective

    談到太空物質，有一個有趣的小故事。
  8. 5. presenting the idea that using wiener filter technology for reducing the noise of the camera in the monitor system

    5 .提出在監控用攝像機噪聲消除方面應用維納濾波技術。
  9. Later on, after elaborating the disadvantages of the old methods in detecting and recognizing moving objects, a series of corresponding approaches are proposed, such as grid scan, local tracking bug and dynamic window in object tracing to reduce the huge data needed to be processed, maximum and minimum for selecting a proper segmentation threshold and improved conversion from rgb model to hsv and so on to decrease the influence of inhomogeneous lighting and the color noise, a bilinear interpolation in each quadrant to eliminate the bad effect on the recognition precise because of the distortions of the camera. after that, much emphasis is given on application study in pattern recognition with a feed - forward neural network. both the basic bp algorithm and improved bp algorithm in the study process are described in detail, and the later is used to quicken convergence speed and improve validity of the network

    然後，分析和闡明了傳統的運動目標檢測方法的不足，並在此基礎上結合研究中的實際實驗環境，提出了一系列解決方法，包括針對降低龐大數據量而提出的網格掃描、局部「跟蟲」追蹤和動態窗口掃描等目標檢測方法，針對實驗環境中光照不均和顏色干擾提出基於人機交互的最大最小值閾值選取方法和引入改進的rgb模型到hsv模型的轉換方法，為消除圖像畸變對識別精度的惡劣影響而採用的通過控制點進行雙線性插值進行畸變校正的方法；緊接著，概述了神經網路的發展歷史和幾種常用神經網路模型的特點，重點研究了前饋型神經網路在模式識別中的應用問題，詳細闡述了基本的bp演算法和學習過程中bp演算法的改進，從而使網路收斂速度更快，解決問題更有效，並在此基礎上，設計了一個基於bp神經網路的運動目標識別系統，給出了實驗結果。
  10. If you have knowledge in simple image processing, you may reduce the noise further by taking many exposure on the same object, and stack them together in computer. after gaining some experience, you many want to take close - up photos of clusters and nebula. since the magnifying and light collecting power of the camera lens is not enough, you have to connect the camera to a telescope

    在1868年，法國天文學家pierre janssen發現了在太陽的光譜中，有一條奇怪的光譜線，起初科學家以為這是一種地球上並不存在的物質所造成的，所以把這種新物質命名為氦英文為helium ，這個字來自希臘語的helio ，意思即為太陽。
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