查询词典 image enhancement

3D image of the nanoscale indentation of crystal aluminium is got via in situ scanning by nanopositioning platform and nanoindenter. Bior3.3, coif 2,and sym8 wavelet were adopted in noise reduction,enhancement and fusion of image,respectively.

采用纳米压痕仪对单晶Al进行纳米级压痕，利用纳米定位平台原位扫描技术获得了三维图像，使用bior3.3， coif 2，sym8分别对所得图像进行降噪、增强、及融合处理。

This paper puts forward an image super-resolution enhancement algorithm based on wavelet transform. This algorithm makes full use of the wavelet multi-resolution transform, and embodies the natural process of decrease of image resolution; it estimates the high resolution wavelet coefficient and gets the reconstructed high resolution image by interpolation inverse transformation.

文章在研究和分析小波变换理论的基础上提出了一种基于小波变换的图像超分辨率增强算法，该算法充分利用小波多分辨率分解思想，体现图像分辨率降低的自然过程；通过估计高分辨率小波系数，经插值逆变换可得到重构的高分辨率图像。

In addition, the software about optical image system and some functional enhancement have been briefly introduced. The changes of the planar and spatial practical image point and ideal image point have been discussed when the vision field angle, object distance and range of refractive index have changed. Some summarizations have been put forward. Some results have been deduced and given qualitative explain.

并简单的介绍了由光学成像算法实现的软件以及对该算法的一些功能的增强从视场角、物距和折射率变化幅度三个方面讨论其分别发生变化时在平面上和空间中实际像点与理想像点的偏差的变化情况，并总结其变化规律，对其中的部分规律进行了简单的推倒和定性的说明。

The study continued previous studies of image segmentation. It brought many kinds of interpretative knowledge of different land-use type and image processing tools together and found out why image segmentation can not be fully automated. During the process of study, repeated provability and enhancement of the original theoretic framework were also be done well.

本研究延续以往对区格化研究的成果，搜集各种不同地物类型的判释知识及与区格化相关之影像处理工具，以系统实作的方式，深入了解区格化未能达到完全自动化的瓶颈所在，并於实作过程中反覆对前人所提之理论架构进行验证及补强。

This article analysed the method of enhancement in frequency and space threshold, and adopted the enhancement method correspond to the image.

对频率阈和空间阈的图像增强方法进行了分析，并针对研究的图像采用相应的增强算法。

In the Sixth Chapter, the Wavelet analysis method is introduced in discussing some acoustic imaging problems related to the physical background of the ultrasonic detection. In the light of the solution of some theoretical problem in the 2D Wavelet transmission of two components form, the enhancement and identification of the spotty and fibriform faults of the acoutic image, along with two acoustic image deblurring methods based respectively on the acoustic physical feature analysis and the acoustic image's spatial feature analysis of the object, are realized. Therefore the image degeneration problem resulting from the acoustic beam diffusion or the acoustic focus diffusion in the ultrasonic detection are effectively improved. The software for this purpose has also been developed.

第六章首次应用小波分析的方法，研究了与超声检测的物理背景有关的一些声象处理问题，在解决了二分量形式的二维小波变换中的一些理论问题的基础上，建立起了对声象中点状和线状缺陷目标的增强与分离方法，以及分别基于目标的声学物理特征分析和基于目标声象空间特征分析的二种声象弥散消除方法，实验分析结果表明，这种方法较好地解决了超声检测中由于声束截面或声焦点扩散所造成的成象退化问题。

A new algorithm of low bit rate image compression was proposed. Firstly, the edge informations of the input image were detected with SUSAN operator, then the detected edge informations were en hanced with edge enhancement method. Finally, the enhanced edge informations were added to the decoded input image to form the final compressed image.

提出一种新的低比特率图像压缩算法，该算法首先利用SUSAN算子检测出输入图像的边缘信息，然后利用边缘增强方法对边缘信息进行增强，最后将增强后的边缘信息和解码后的输入图像相加形成最终的压缩图像。

This research has proved that an artificial neural network is capable to differentiate the reactional enhancement of malignant intracranial gliomas in postoperative MR image s and the enhancement caused by tumor residual.

本研究成功地证明了人工神经网络能够鉴别颅内恶性胶质瘤术后磁共振图像的反应性强化与肿瘤残存所致的强化

This research has proved that an artificial neural network is capable to differentiate the reactional enhancement of malignant intracranial gliomas in postoperative MR images and the enhancement caused by tumor residual. As a innovative differentiation approach, it requires further studies and researches to determine its applicability in practice, including the increase of training samples, image description standardization, effects to doctoral diagnosis, as well as parameter optimization. With improvements in these elements, the performance of the network will be optimized.

本研究成功地证明了人工神经网络能够鉴别颅内恶性胶质瘤术后磁共振图像的反应性强化与肿瘤残存所致的强化，为解决二者的鉴别这一复杂问题提供了一个新的方法，但是本研究只是初步的应用探讨，能否在实际中应用，还有待于进一步的研究，如训练样本的增加、图像描述的规范化、对医师诊断影响程度、参数的优化等，网络的性能会不断完善和提高。

This research has proved that an artificial neural network is capable to differentiate the reactional enhancement of malignant intracranial gliomas in postoperative MR images and the enhancement caused by tumor residual. As a innovative differentiation approach, it requires further studies and researches to determine its applicability in practice, including the increase of training samples, image de脚本ion standardization, effects to doctoral diagnosis, as well as parameter optimization. With improvements in these elements, the performance of the network will be optimized.

本研究成功地证明了人工神经网络能够鉴别颅内恶性胶质瘤术后磁共振图像的反应性强化与肿瘤残存所致的强化，为解决二者的鉴别这一复杂问题提供了一个新的方法，但是本研究只是初步的应用探讨，能否在实际中应用，还有待于进一步的研究，如训练样本的增加、图像描述的规范化、对医师诊断影响程度、参数的优化等，网络的性能会不断完善和提高。

In the United States, chronic alcoholism and hepatitis C are the most common ones.

在美国，慢性酒精中毒，肝炎是最常见的。

If you have any questions, you can contact me anytime.

如果有任何问题，你可以随时联系我。