HIISC:一种高效灵活的医学影像集成服务组件

医院有不少的遗留设备与软件系统,它们并未提供标准接口、缺乏相关接口资料或者根本未提供接口,给医疗信息集成带来了极大的挑战.本文设计了一种商高效、灵活的医学影像集成服务组件应用到医院信息系统中,专门解决异构系统的医学影像集成问题,实现了真正意义上的异构系统间的有效整合.     

基于BayesShrink软阈值的Bandelet域SAR图像去噪

合成孔径雷达(SAR)图像产生的相干斑噪声是一种乘性噪声,严重影响SAR图像的质量.本文提出一种新的极化SAR图像的去噪方法,该方法对极化SAR图像进行自适应Bandelets阈值方法,阈值采用BayesShrink软阈值方法,将其应用于自适应Bandelets系数.通过实验对比,证实此法与小波阈值去噪相比,能够更好地...     

基于球面全景图的空战环境漫游研究

研究鱼眼图像的拼接算法,实现利用两幅鱼眼图像生成球面虚拟空间,然后探讨基于球面虚拟图的多视点漫游问题,利用反投影模板技术有效地提高全景图浏览的速度,采用缩放的方法改进了行进间的浏览效果,从而提高虚拟漫游的沉浸感,具有一定的实用意义。     

多帧图像综合技术在车牌识别中的应用

本文针对车牌识别系统在车牌图像质量不高时识别准确率较低的问题,提出了一种多帧图像综合算法,来更全面地利用车牌图像中所含有的有用信息,以达到提高车牌识别准确率的目的。首先利用图像配准算法对从视频图像中抽取的几帧图像进行配准,然后利用像素值取大算法进行综合,最后得到一幅综合后的车牌图像。实验表明,经过该算法综合后的车牌图像比原图像更接近真实的车牌图像,能够更好地适用于车牌识别,从而提高车牌识别的准确率。     

Topological Repairing of 3D Digital Images

We present here a new randomized algorithm for repairing the topology of objects represented by 3D binary digital images. By “repairing the topology”, we mean a systematic way of modifying a given binary image in order to produce a similar binary image which is guaranteed to be well-composed. A 3D binary digital image is said to be well-composed if, and only if, the square faces shared by background and foreground voxels form a 2D manifold. Well-composed images enjoy some special properties which can make such images very desirable in practical applications. For instance, well-known algorithms for extracting surfaces from and thinning binary images can be simplified and optimized for speed if the input image is assumed to be well-composed. Furthermore, some algorithms for computing surface curvature and extracting adaptive triangulated surfaces, directly from the binary data, can only be applied to well-composed images. Finally, we introduce an extension of the aforementioned algorithm to repairing 3D digital multivalued images. Such an algorithm finds application in repairing segmented images resulting from multi-object segmentations of other 3D digital multivalued images.

Classification of face images using local iterated function systems

There has been an increasing interest in face recognition in recent years. Many recognition methods have been developed so far, some very encouraging. A key remaining issue is the existence of variations in the input face image. Today, methods exist that can handle specific image variations. But we are yet to see methods that can be used more effectively in unconstrained situations. This paper presents a method that can handle partial translation, rotation, or scale variations in the input face image. The principal is to automatically identify objects within images using their partial self-similarities. The paper presents two recognition methods which can be used to recognise objects within images. A face recognition system is then presented that is insensitive to limited translation, rotation, or scale variations in the input face image. The performance of the system is evaluated through four experiments. The results show that the system achieves higher recognition rates than those of a number of existing approaches. The author would like to thank the Australian Research Council (ARC) which supports this research with a Discovery Grant.     

Tissue segmentation in ultrasound images by using genetic algorithms

This paper presents a genetic based incremental neural network (GINeN) for the segmentation of tissues in ultrasound images. Performances of the GINeN and the Kohonen network are investigated for tissue segmentation in ultrasound images. Feature extraction is carried out by using continuous wavelet transform. Pixel intensities at the same spatial location on 12 wavelet planes and on the original image are considered as features, leading to 13-dimensional feature vectors. The same training set is used for the training of the Kohonen network and the GINeN.

This paper proposes the use of wavelet transform and genetic based incremental neural network together in order to increase the segmentation performance. It is observed that genetic based incremental neural network gives satisfactory segmentation performance for ultrasound images.     

Repair approach for DMC images based on hierarchical location using edge curve

The color composite digital mapping camera (DMC) images are produced by the post-processing software of Z/I imaging. But the failure of radiometric correction in post-processing leads to residual radiometric differences between CCD images, which then affect the quality of the images in further applications. This paper, via analyzing the characters and causes of such a phenomenon, proposes a repair approach based on hierarchical location using edge curve. The approach employs a hierarchical strategy to locate the transition area and seam-line automatically and then repair the image through the global reconstruction between CCD images and the local reconstruction in the transition area. Experiments indicate that the approach proposed by this paper is feasible and can improve the quality of images effectively. Supported by the National Basic Research Program of China (Grant No. 2006CB701302) and the Youth Fundation Plan of Wuhan (Grant No. 200750731253)     

基于内容的信息检索技术研究

介绍了多媒体图象数据查询和检索的系统结构;阐述了图象数据查询和检索的基本过程和相关技术;提出了图象分割、特征提取、相似匹配、快速存取的具体算法,并对它们进行了详细分析。     

基于文本的图像压缩在LED显示屏中的应用

LED显示屏主要用来显示文字信息,它的控制系统多为单片机控制,通信方式为rs232或者低速的以太网.考虑到单片机的处理能力和控制系统成本的原因,一般控制系统都没有设置字库,所以LED显示屏上显示的文字一般都用位图点阵信息表示.但基于文本的位图数据量很大,且控制系统的通讯传输速度低下,在发送大量显示画面时位图数据的压缩就非常重要.由于控制系统单片机的处理能力有限,JPEG、GIF等图像压缩算法难以实现.基于行程编码图像压缩算法计算量小、适合单片机处理,而且对于文字位图的压缩率较高.