fuzzy image 中文意思是什麼
fuzzy image
解釋
不明顯圖像-
By two ways, this paper debates the theory of fracture detection : on one hand by the way of edge detection in image processing ; on the other hand by time series analysis. the detection by time series analysis is more antinoise than edge detection in image processing. edge detection theory in image processing mainly includes correlation data, fuzzy edge detection, entropy operator edge detection and gradient edge detection
圖像處理中的邊緣檢測的方法主要包括相干數據體法、模糊邊緣檢測法、基於熵運算元的邊緣檢測法、梯度邊緣檢測法；其中模糊邊緣檢測法比較依賴于參數的選擇，其渡越點兩邊的像素區別明顯；熵運算元的檢測方法則是檢測的圖像邊緣比較光滑，連通性好；梯度檢測法可以使用不同的運算元核，演算法比較簡單；相干數據體對于總體的大的裂縫的分佈具有比較奸的反應。 -
In algorithms, classification algorithms are divided into two cases : one for known statistical distribution model and the other for unknown statistical distribution model. four classification algorithms, the bata - prime statistic model fusing quadratic gamma classifier, based on sar image rcs reconstruction and space position mode, on the mixed double hint layers rbfn ( mdhrbfn ) model and on the self - adapt fuzzy rbfn ( afrbfn ) model, are derived. the problems, including how to further improving the class ratio of the bayes decision, decreasing the dependence on the statistical model and directly providing the adapted algorithm with samples, are solved
提出了基於徑向基函數神經網路（ rbfn ）的雙隱層混合網路（ mdhrbfn ）模型，解決了標準神經網路在具體sar圖像地物分類中分類類別數目不夠和分類精度差的問題；提出了基於模糊推理系統的自適應模糊rbfn分類（ afrbfn ）模型，兼顧通用性與精確性，增強人機交互能力，進一步提高了演算法分類率。 -
We use fuzzy mathematical morphology to remove noise and dust which can lower noise successfully and also make up a loss of intensity caused by fluorescence blench. to acquire the target region, we purpose automatic gridding method based on image segmentation for image with irregular spots, it ' s segmentation through threshold. this method is presented simply and fast
在網格定位中，本文針對信號點不規則的晶元圖像提出了基於圖像分割的自動定位方法? ?閾值分割，該方法簡單快速，但對于光密度分佈不均勻的信號點，可能會去掉部分微弱信號，降低了計算的準確性。 -
Enlargement of the image beyond this point merely produces a fuzzy and less distinct image.
把物象放大至超過這個限度后只會產生一個模糊不清的物象。 -
Color image segmentation based on fuzzy logic
基於模糊優化演算法的慣性元件誤差補償方法 -
Image enhancement based on fuzzy logic optimized by cga
基於遺傳優化的圖像增強模糊演算法 -
Fuzzy histogram approaches for color image retrieval
彩色圖象檢索中的模糊直方圖技術 -
Image segmentation using the method of pyramidal fuzzy c - mean cluster
均值聚類圖像分割方法 -
Median filtering is chosen to modify the fuzzy edge by using the smoothing arithmetic, sobel operator is used to detect edge because of its filtering characteristic. image is changed from gray - scale to two - valued according to the threshold which is automaticly selected by otsu
選用中值濾波減小平滑演算法導致的邊緣模糊;利用有濾波特性的sobel運算元進行邊緣檢測;使用最大類間方差自動確定閾值，將灰度圖像轉化為二值圖像。 -
Co - evolution optimization of image enhancement based fuzzy algorithm
一種基於模糊邏輯的圖像多層次增強演算法 -
The enhancement of eye funds image based on an improved fuzzy algorithm
基於模糊熵及遺傳演算法的圖像增強技術 -
About the applications of cognitive map : line feature detection and form based on fuzzy cognitive map, basic shapes recognition based on fuzzy cognitive map, object recognition based on probabilistic fuzzy cognitive map, a new method of image understanding based on cognitive map and robot high - level planning based on fuzzy cognitive map have been realized in this dissertation
對于認知圖在圖像分析及理解中的應用：本文在認知圖理論研究的基礎上，把認知圖應用到圖像分析與圖像理解中。實現了一種基於模糊認知圖的線特徵檢測與形成方法、基於模糊認知圖的基本形狀識別方法、基於概率模糊認知圖的目標識別方法及基於認知圖的圖像理解方法，並將圖像理解與認知圖應用到機器人的高層規劃系統中。 -
A fuzzy image data model and a concept of fuzzy space are proposed, in which model visual feature, spatial feature and semantic feature are used for super feature in order to utilize advantage of traditional relation database as well as characteristics of image data and fuzzy retrieval. based fuzzy space, a method of similarity measurement of image is presented to support fuzzy features - based image retrieval and satisfy user ' s query requirement for image. in the thesis, a semantic template and the mechanism of dynamic relevant feedback are defined so that it can express user ' s query semantic and improve retrieval precision and useable capability for image retrieval
研究了模糊檢索方法和相關反饋機制在圖象檢索中的應用，提出了一種模糊圖象數據模型和模糊空間的概念，該模型將可視特徵、空間特徵、語義特徵看作超屬性，既充分利用了傳統關系數據庫的優點，同時又考慮了圖象數據以及模糊查詢的特點，文中提出的模糊空間和模糊相似性度量方法能支持基於模糊特徵的圖象查詢，較好地體現用戶圖象查詢的應用需求，文中定義的語義模板和相關反饋機制能在一定程度上表達用戶的查詢語義，提高圖象檢索的準確率和易用性。 -
Image correlation matching method based on fuzzy genetic algorithm
自然數編碼遺傳演算法在圖像相關匹配中的應用 -
To deal with the problems mentioned above, a generalized iterative fuzzy enhancement algorithm is proposed in this thesis that consists of a three - stage procedure, i. e., image filtering, fuzzy enhancement and gray - level transformation
為了解決上述問題，本文在經典模糊增強方法和灰度變換基礎上提出了一種廣義的迭代模糊增強演算法。 -
The fuzzy division of the character lattice image can overcome the stroke position influence to the feature extraction. the fuzzy direction feature combines the fuzzy image division with the fuzzy direction property feature, which describes the stroke direction property of single edge point
通過對字元點陣圖像的模糊劃分，克服筆畫位置對特徵抽取的影響；用模糊方向屬性特徵描述單個邊緣點筆畫方向屬性；模糊方向特徵是圖像的模糊劃分和邊緣點的模糊方向屬性特徵的結合。 -
Never blame a camera for not knowing everything or making a wrong exposure or fuzzy image
絕對不要去責怪你的相機怎麼會不懂攝影，居然拍出錯誤的曝光或是拍出不符要求的模糊影像。 -
In the final, we evaluated and analyzed the quality of a series of compressed images with the fuzzy image and psnr ( peak signal - to - noise ratio ) measurement. we have also made some other experiments such as add noise to the images and so on
然後用峰值信噪比和本文提出的模糊圖像度量分別對一系列壓縮后的圖像質量進行評價，並且分析了它們的評價結果，最後還進行了對圖像添加各種噪聲等實驗。 -
The analysis result shows that the fuzzy image measurement presented in this dissertation is comparatively a somewhat better image measurement. we may have some tries to use it in some fields
實驗結果表明：此度量在某些情況下比較符合人眼的主觀感覺，比較適合對圖像的總體評價。 -
In this dissertation, we presented a new kind of image measurement and showed the algorithm of how to calculate the value of this measurement fastly. the new image measurement is named fuzzy image measurement and based on the generalized integral extended from the sugeno integral
本文通過對sugeno模糊積分進行推廣后得到的基於三角模的廣義模糊積分，建立了一種新的模糊圖像度量，並給出了在實際應用中此度量的快速計算方法。
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