熵值圖 的英文怎麼說
中文拼音 [shāngzhítú]
熵值圖
英文
entropy chart-
4. practical meteorology : isopleths analysis ; streamline analysis ; use of tephigram ; interpretation of weather charts ; weather observations ; codes in common use ; principles and exposure requirements of weather instruments ; telecommunications procedures
4 .實用氣象學：等值線分析流線分析溫熵圖應用天氣圖解釋天氣觀測通用電碼氣象儀器原理及安裝條件電信程序。On this basis, the four numerical features identifying the content of image are raised from gray - level co - occurrence matrix of the image
在此基礎上，利用圖像的灰度共生矩陣，統計出反應紋理一致性、紋理對比、紋理的熵和紋理相關性的數量值。The problem which identificate oil - water two phase flow pattern with information entropy is discussed profoundly. the information entropy distribute in the range from 0. 1209 to 0. 1659 for 61 % kw 91 %. changes of the information entropy with variations of total flowrate and water - cut correspond to oil in water in existing flow pattern map
）為61 91時，信息熵值分佈在0 . 1209 0 . 1659之間，與流型圖對比可知，信息熵值與總流量q _ 1及含水率之間有良好的對應關系，表明此范圍為水包油流型（油為分散相） 。The two - dimensional shannon s information entropy is a classical and commonly used image segmentation method, but there still are some disadvantages involved
二維shannon信息熵法是圖像閾值分割中常用的經典演算法，但存在著不足。Secondly, this paper mainly put forward different grey level threshold value segmentations of plane target after brief analyse the smooth and sharp image of image strengthen technology, segmentation for the overall situation, adopt the maximum variance method, the maximum entropy combine with adaptive threshold selection method, the maximum variance ration between two classes and in two classes ; segmentation for the part situation, has adopted the adaptive threshold value method ; to background more complicated segmentation, have adopted the two - dimentional maximum entropy method
其次，在簡要的分析了圖像平滑和銳化的圖像增強技術后，重點研究了飛機目標的灰度分割，提出不同的灰度閾值分割方法進行圖像分割，對于全局分割，採用了最大類間分割法、最大熵與一致性準則相結合法、最大類間類內方差比法;對于局部分割，採用了自適應閾值法;對于背景較復雜的分割，採用了二維最大熵法。Better segmentation effect can be attained by coding gray levels of pixels as eigenvector, taking advantage of histogram entropy principles function as fitness function, adopting ranking selection operation, making use of arithmetic crossover and mutation at a certain probability, combining with clustering analysis to initialize clustering center of the population to segment cells image with genetic algorithm
以像素的灰度值為特徵向量進行編碼，利用直方圖熵法準則函數作為適應度函數，採用基於排名的選擇操作，以一定的概率進行算術交叉和變異，並結合聚類分析設定種群的聚類中心對細胞圖像進行遺傳聚類分割。At the doppler centroid aspect, this paper make use of maximum value method ; energy method and autocorrelation function method to estimate doppler centroid. at the doppler frequency aspect, this paper make use of image offset method ; time - frequency method ; minimum entropy and fractional fourier transformation method to estimate doppler frequency rate
在多普勒參數估計中，採用了最大值法、能量法和自相關函數法進行多普勒中心頻率估計;採用了圖像偏移法、時頻分析法、最小熵法和分數階傅里葉變換法進行多普勒調頻斜率估計。According to the character of the flyers, a one - dimension maximum entropy image binary conversion method based on edge features is proposed, which can implement adaptive threshold selection
針對飛行物圖像的特點，提出了一種新的基於邊界特徵的一維最大熵圖像二值化分割方法，該方法可以自適應地選取閾值。Numerical simulation of image reconstruction from fewerviews by a maximum entropy approach
少數投影最大熵圖像重建的數值模擬Entropy of an image is to express the smoothness or homogeneity of the image. while computing in a local window, if there exist edges, the local image will not be homogenous, variation of the grayness will be sharp and the entropy obtained will be low. otherwise, the entropy will be high. given the threshold of entropy, it can be determined whether or not exist edges. because entropy operator is sensitive to noise, the effect is bad if it is directly used to detect edges. in view of the deficiency, the paper comes up with an edge detection method in which entropy operator is combined with noise removal. if the entropy computed is higher than the threshold, it will be necessary to determine whether it is caused by noise or by edges. thus edge detection and noise removal can be made at the same time. with this method satisfactory effect has been achieved by experimenting upon image with low ratio of signal to noise
圖像的熵用來刻劃圖像的平滑性或均勻性.在圖像的局部窗口中計算時，如果窗口中存在邊界，則窗口中的圖像不均勻，其灰度變化急劇，計算出的熵小；反之熵大.設定熵的閾值，即可判斷是否存在邊界.由於熵運算元對噪聲很敏感，直接用它進行邊界檢測，效果很差.文中針對這一缺陷，提出將熵運算元與去噪相結合的邊界檢測法，如果計算出的熵大於閾值，要判斷是噪聲的出現所引起，還是邊界的出現所引起，這樣，邊檢測邊界邊去噪聲.用該方法對信噪比較低的圖像進行實驗，得到了滿意的效果Method of thresholding using two - dimensional exponent entropy and its fast algorithm
二維指數熵圖像閾值選取方法及其快速演算法Segmentation of chromosome : the chromosome image is segmented by the method of boundary gray level threshold and entropy algorithm based on genetic algorithm, then, after boundary smoothing and edge tracing, the chromosome position information is acquired. 2. diagnostic extraction of chromosome : on the basis of skeleton pixel after thinning, the medial axes are obtained by the orthogonal approximation
主要研究內容如下: 1 、染色體圖像分割:採用基於邊界灰度的門限演算法和基於遺傳演算法的熵演算法來尋找染色體圖像二值化需要的分割閾值，對分割后的圖像存在的噪聲分別採用內插來置換和邊界跟蹤來消除; 2 、染色體特徵提取:採用細化技術將染色體細化一些離散的骨架點，用插值方法獲得平滑的曲線染色體中線。Image threshold using fuzzy entropy based on convex polynomial
基於凸多項式模糊熵的圖象閾值方法Fuzzy entropy and multi - threshold image segmentation based on genetic algorithm
基於遺傳演算法的模糊熵多閾值圖像分割Our experiments show that the new method overcomes the disadvantage of image segmentation with one - dimension maximum entropy and keeps the original edge features well. this method is simple
實驗表明，本方法可以克服目前已有的一維最大熵取閾值方法進行圖像分割時，由於閾值取的太低而丟失細節信息的缺點，有效地保留了邊界的細節特徵。分享友人