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图像分解的英文

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"图像分解"怎么读用"图像分解"造句

英文翻译手机手机版

  • image dissection
  • picture breakdown

例句与用法

  • The modified bemd method in this thesis is introduced to process high resolution images
    同时,针对高分辨率的图像分解,提出了一种改进的bemd方法。
  • But in practical image , edge detection becomes a problem because of the using wavelet to transform the image into approximate express that undertake the filter of the high frequency part by original image
    提出一种利用小波把图像分解成近似部分和细节部分,近似部分是原图像对高频部分进行滤波所得的近似表示。
  • In so doing the original image is decomposed into lots of integral sub - blocks , and the position , size and gray value of each integral sub - block can be stored with an efficient way , so as to achieve the aim of compression
    该方法把原始图像分解为若干个整体子块,并采用有效的方式存储每个整体子块的位里、大小和灰度,从而达到压缩的目的。
  • We decompose an image through the wavelet transform functions made by us , the original image can be better restored , and the experiment of single image shows the compressing rate is 50 : 1 . the compressing efficiency is further improved
    用所构造的小波变换把图像分解后,能比较好地恢复出原始图像,从单帧图像的实验说明压缩比可达50 : 1 ,进一步提高了压缩效率。
  • This algorithm decomposes and reconstructs a digital image using multi - resolution ratio of wavelet transform , analyzes the design method of compactly supported orthogonal filter , and realizes the image decomposition and reconstruction based on orthogonal wavelet
    本算法利用小波变换的多分辨率特性来进行图像的小波域分解和重构,分析了具有紧支集的正交小波变换滤波器的设计原理,实现了基于正交小波的图像分解与重构。
  • This paper presented m - band wavelet - based watershed image segmentation method for medical digital image . the method was based on a multiresolution application of a m - band wavelet and watershed transformation , followed by a wavelet coefficient based energy computation and region merging procedure . the results showed that the method was useful for the reduction of over - segmentation and can be applied to the segmentation of digital images
    本文针对医学数字图像数据量大和噪声情况复杂的特点,结合多尺度分析理论,通过多小波图像分解、能量计算、分水岭变换和区域融合等步骤,克服了分水岭变换严重的过分割问题,实现了有意义的区域分割。
  • In forward algorithm , we according to the high level coefficients to locate the jumps and modify the coarser level coefficients , which relate with the jumps . in inverse transforms algorithm , according to the locations to modify the datum , which relate with the jumps . we can reconstruct the image well by using this algorithm , and avoid the gibbs " phenomenon completely
    该算法不必修改双正交小波变换及其滤波器系数,在小波图像分解时只是根据高频小波系数定位图像的跳跃处,修改关联跳跃处的粗尺度小波系数;重构时根据算法修改关联跳跃处的重构数据,就能很好地重构原图像,并从本质上消除了gibbs ’现象。
  • There are many methods of picture compression and decompression epidemic now . the utility of wavelet to handle the picture has its owe advantage . the process of using wavelet in picture compression include : using the wavelet in picture decompose , i . e . using tow - dimension discrete wavelet to discompose the picture in high frequency detail component and low frequency component , gain the low frequent component and high frequent component
    现今流行许多种对图像进行压缩和解压的方法,小波应用小波函数处理图像有其独特有的优点,小波函数对图像的压缩过程主要包括运用小波函数对图像进行分解,即利用二维离散小波将图像分解为低频分量及高频细节分量。
  • Several objective and subjective quality assessments of fused image were given in this thesis . we compared the performance of various image fusion algorithms with these evaluation criteria . the influence on fusion performance of the number of decomposition levels , fusion rules and operators , the size of region applied to the multi - resolution image fusion method were studied in this paper
    论文对融合图像质量主观和客观评价方法进行了研究,利用这些评价方法对各种图像融合算法的性能进行了分析,并比较图像分解层数、特性区域大小、融合规则和融合算子的选择对各种多分辨率融合算法融合结果的影响,得出一些结论。
  • It includes five parts : pre - process , multi - scale analysis , feature extraction , classification and text area extraction . the size of text in scene image varies a lot , to extract different size text , in multi - scale process , we make the image into three resolutions : 1 / 1 , 1 / 2 , 1 / 4
    由于图像上字符的大小变化范围很大,为了能够找出大小不一的文本区域,在多分辨分析中,本文将图像分解为原分辨率的1 / 1 、 1 / 2和1 / 4的三幅子图,然后对每幅子图应用相同的文本区域定位算法。
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