图像
- 与 图像 相关的网络例句 [注:此内容来源于网络,仅供参考]
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We testify that the inverse compositional AAM is more efficient than the original one by an experiment.
提出了一种新的基于局部指向性的反向合成图像对齐算法——反向合成梯度算法,给出了局部指向性的定义及表达式,详细推导了反向合成梯度算法,总结了其计算步骤:实验结果表明,与原始的反向合成图像对齐算法相比,反向合成梯度算法能够有效克服图像中光照变化的影响。
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According to the image evaluation of the absolute central moment of clarity of images, multiple images at the same time read, and gives its definition curve.
详细说明:根据图像的绝对中心矩评价图像的清晰程度,同时读入多幅图像,并给出其清晰度曲线。
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All these descriptors are not only robust to illumination change, but also robust to affine transformation and image blurring.
这些颜色不变性描述子不仅具有对图像光照变化的鲁棒性,而且还具有对图像几何变化以及图像模糊的鲁棒性。
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The CT image of stomach with air-filled shows well the structure of the stomach and its distending function,and its image quality is far better than that of water-filled,the method is good for examinating stomach lesion.
胃腔充气造影的MSCT扫描图像可清晰显示胃的解剖结构和功能,图像质量明显优于饮水造影的图像质量,是一种值得推广的检查胃部病变的方法。
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When detecting the edge, an auto-choose threshold algorithm is given to reduce the salt-and-pepper or pulse wrong edges. After analyzing the special noise factor in pin's image, this paper improves the edge detection elements. That's putting forward a way which is named"the method of de-noise based on linear weighted operator template"to reduce the zonal or cluster noise. And test show that the algorithms detect image's edge rightly.
针对钻针图像的特点,在边缘检测中提出了自动选择阈值的算法;之后针对钻针图像中的特殊噪声形式,对边缘检测算法进行了原理上的改进,通过对图像的灰度分布的数学模型的建立,提出了使用加权直线模板去噪法进行块状噪声的去除;通过上述算法的应用,良好地改善了图像处理的质量。
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Firstly, we constructed Red-Black Wavelet by Lifting Scheme. Secondly, we applied the Red-Black wavelet to two image fusion experiments: fusion of multifocus images; fusion of CCD and IR images. Finally, we evaluated the method's performance by some objective criteria based on statistics or informatics.
首先基于提升框架的思想构造Red-Black小波,然后将其应用于两组图像融合实验:不同聚焦点图像融合与可见光-红外图像融合;并分别采用基于统计特性和信息量的评价指标,将本文方法与db4张量积小波的图像融合方法进行了比较。
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The image processing method of PIV was studied on the base of the image correlation theory in this paper. The simulated particle image displacement field was reconstructed. The reconstruction result of auto correlation and cross correlation , and the error of cross correlation were given. The difference of this two correlation method was analyzed.
以图像相关理论为基础,研究粒子图像测速技术的图像处理方法,编制出高精度的处理软件,重建计算模拟的粒子图像位移场,给出了自相关法与互相关法的积相关与减相关的计算结果,及互相关法的误差分析,分析了自相关与互相关区别。
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The simulation experiment shows that the algorithm can cause the detail of image becoming true and rich, and make polarization characteristic becoming sufficiency after fusion. At the same time, it can reduce pretreatments of original image, and take a great visual effect on the whole.
仿真实验结果表明,这样使得融合后的图像细节更真实更丰富,图像的偏振特性体现更为充分,同时减少对源图像的预处理要求,使图像在整体上有较好的视觉效果。
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Compared with the traditional methods used in the image processing, this approach offers advantages of taking into account the correlation of the whole image, keeping fine details of image and avoiding the sawtooth effect and smoothing effect associated with traditional image interpolation techniques.
与图像处理中的传统插值算法比较,该算法通过提取图像的分形特征保持图像的全局相关性,更好地保持图像的细节信息,避免了传统插值算法引起的锯齿效应和平滑效应。
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Thirdly, it introduces the theory of the imagesegmentation and frequent segmentation technique. The aim of the imagesegmentation is to mark off the interested region of the image, which is done to thecorresponding image processing to reduce the operation time and save the storagespace. At last, it mostly introduces the compress technique based on the wedgelet, andcompares the CART model which is introduced by Donoho and the improved modelby Romberg et.al. with the model of the article, then compares the image ofprocessing based on the three methods.
然后,介绍了图像分割理论和常用的分割技术,图像分割的目的是划分出感兴趣的图像区域,进行相应的图像处理,减少运算时间和节省存储空间;最后,主要介绍了基于伸长小波压缩的技术,将目前主要的算法----Donoho提出的CART模型和Romberg等人基于此的改进模型,与本文所提出的算法模型进行了比较,并对三种方法处理的效果图作了详细的比较。
- 推荐网络例句
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But we don't care about Battlegrounds.
但我们并不在乎沙场中的显露。
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Ah! don't mention it, the butcher's shop is a horror.
啊!不用提了。提到肉,真是糟透了。
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Tristan, I have nowhere to send this letter and no reason to believe you wish to receive it.
Tristan ,我不知道把这信寄到哪里,也不知道你是否想收到它。