false fusion 中文意思是什麼
false fusion
解釋
假熔-
In this dissertation, on the base of analysis on low - level - light ( lll ) and infrared ( ir ) image character and also taking into account of chromatics and real - time processing, a number of theoretic algorithms of false color fusion and pre - processing on lll and ir images are explored
本文在分析微光圖像和紅外圖像特徵的基礎上，結合色度學和實時性考慮，探索研究了微光和紅外圖像假彩色融合與預處理的理論演算法。 -
3. based on the information fusion estimation theory, a significant conclusion is drawn that the allocation of information cannot change global estimating accuracy, only local estimating accuracy. therefore, information magnitude sharing coefficient is unnecessary to be adaptivcly determined, which rectifies a false standpoint in the literatures [ 108. 129, 131, 140. 141 ]
基於信息融合估計理論，研究指出聯合濾波中信息分享系數取值的不同只能夠影響對應子系統狀態的估計精度，並不能影響系統狀態的估計精度，信息分享系數往往沒有必要進行自適應確定，糾正了文獻[ 108 ， 129 ， 131 ， 140 ， 141 ]中的錯誤觀點。 -
A false color night vision image fusion algorithm based on rgb color space is proposed in this dissertation. low light level bispectral images and infrared images are fused using improved tno algorithm. it can indeed bring us a natural color image and the object can be recognized more effectively
在彩色夜視的概念基礎上，對微光圖像與紅外圖像進行了基於rgb色空間的假彩色融合處理，針對本實驗採集的雙譜微光圖像與熱紅外圖像的實驗數據，對基於像素級彩色融合處理tno演算法進行了改進，得到了更有利於人眼識別的融合后彩色圖像。 -
False evidence processing in information fusion
信息融合中的偽證據處理 -
In this paper, we present a multi - feature optimal fusion algorithm, inclusive of skin color, to detect one or multiple faces in color image with complex background. it is a hierarchical approach and integrates the skin color segmentation, face template matching and a neural network frontal face detector. with the elimination of false areas, the search area will become smaller and smaller, and the detection will be accomplished eventually
該演算法是一種層次式、由粗到精的檢測方法，按照「分割-搜索」的檢測模式，將膚色分割、平均臉模板匹配與神經網路驗證結合起來，採取逐步排除的方法，一步一步縮小搜索區域，實現彩色圖像中單個或多個正面端正人臉的檢測與定位。 -
Comparing to other false color methods, our algorithm can not only reserve better space resolving rate, but also present important information of a special sensor. experiment result shows the performance of our algorithm is satisfied. fourthly, based on analyzing different application fields, several image fusion evaluation algorithms have been created
該方法克服了基於rgb空間的偽彩色法造成的融合圖像解析度的下降，且充分保留了異類傳感器的特殊信息，模擬實驗充分證明了上述特性；並在融合圖像的性能評估中，從4個指標上證明了該演算法得到的融合圖像的灰度圖像其空間解析度，比其它偽彩色融合演算法占優。 -
Smart bit has been studied in this paper considering the false alarm of conventional bit. the fault diagnosis technique of the markov model and information fusion technique based on the artificial neural network have been discussed. the fault detection tests of lvdt sensor are assessed applying the neural network of bp and art - ii, and the validity is proved by the simulated result
針對常規bit的虛警問題，本文進行了智能bit技術研究，探討了基於馬爾可夫模型的故障診斷技術和基於神經網路的信息融合技術，分別應用bp網路和art - ii型網路對lvdt傳感器進行故障檢測，通過數字模擬驗證了其有效性。 -
Thirdly, a new false color image fusion algorithm based on hsi color space for different sensor is presented
提出了一種基於hsi空間的偽彩色異類多傳感器圖像融合方法。 -
This thesis focused on the algorithms of the pixel - level fusion process, including simple image fusion methods, multi - resolution image fusion methods and false color image fusion methods
本文重點研究像素級多傳感器圖像融合演算法，包括簡單圖像融合方法、多解析度圖像融合演算法和偽彩色圖像融合演算法。
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