生物显微结构连续切片图象的象素地址矢量表达和三维重建信息加工

本文主要介绍一种适用于生物显微结构连续切片三维重建的图象表达方法——象素地址矢量法及其相应的图象信息加工方法:三维重建,三维模型绕任选空间轴旋转和用软件重新剖切.与常用的图象矩阵表达法相比,可以较多地节省序列图象所占的数据容量,便于在微机系统上对多种形态的显微结构进行三维重建信息加工.当对较大的图象进行分解与整合处理时,还避免了采用图象矩阵表达法可能遇到的边界问题.由于数据容量的减少,提高了图象处理的速度.这种图象表达及信息加工方法对包括生物活体时间序列图象在内的多种序列图象加工可能都是适用的.     

An image processing system for digital chest X-ray images

This paper investigates the requirements for image processing of digital chest X-ray images. These images are conventionally recorded on film and are characterised by large size, wide dynamic range and high resolution. X-ray detection systems are now becoming available for capturing these images directly in photoelectronic-digital form. In this report, the hardware and software facilities required for handling these images are described. These facilities include high resolution digital image displays, programmable video look up tables, image stores for image capture and processing and a full range of software tools for image manipulation. Examples are given of the application of digital image processing techniques to this class of image.     

一种有监视的结石X光医学图像自动勾边及分析方法

本文提出一种利用结石粒子Ｘ光图像边缘灰度差最大的特性,对粒子边缘进行自动检测勾边的方法,对已勾好边界的粒子再进行填充,这样就可以较为精确地计算出粒子的直径,周长,面积等,处理完毕还可将原图像恢复。     

小波变换及其在医学图像处理中的应用

医学图像的好坏直接影响着医生对病情的诊断和治疗,因此利用数字图像处理等技术对医学图像进行有效的处理,已成为医学图像处理研究和开发的一大热点。小波变换是对傅里叶变换的继承和发展,在医学影像领域有着广泛的应用前景。本文介绍了二维离散小渡变换的一般形式,在图像分解与重构的基础上．系统地阐述了利用小小组变换的时频域特性与多分辨分析对医学图像进行去噪、增强以及边缘提取等深层次的处理,有效的改善图像质量。     

复眼透镜光学信息保密编码及译码的研究——Ⅱ.分解掩模编码与综合再现

本文根据复眼透镜光学信息编译码的技术原理,实现了对二维图像进行分解编码记录以及综合译码再现.一幅m×n个目标单元的二维图像,通过1×k阵列的复眼透镜,得到(1×k)(m×n)个像元.经过一个特制的掩模板,得到一幅随机分解编码像,并根据透镜的物、像共轭原理,综合再现了原始图像.进而还实现了同时记录多幅二维图像信息的互补编码像,以及将互补编码像分离重现了每一幅原始目标图像.此互补编码像携带了更大的信息量,同时也大大提高了保密性能.     

An image processing system for digital chest X-ray images

This paper investigates the requirements for image processing of digital chest X-ray images. These images are conventionally recorded on film and are characterised by large size, wide dynamic range and high resolution. X-ray detection systems are now becoming available for capturing these images directly in photoelectronic-digital form. In this report, the hardware and software facilities required for handling these images are described. These facilities include high resolution digital image displays, programmable video look up tables, image stores for image capture and processing and a full range of software tools for image manipulation. Examples are given of the application of digital image processing techniques to this class of image.     

数字乳房X片中的伪彩色增强应用

利用数字图像处理中伪彩色理论,讨论了灰度一彩色变换函数,并用合适的线性变换函数对数字乳房X片进行处理。处理后的图像与原数字灰度图像相比较,可分辨性明显提高。可以利用这种变换,辅助医疗诊断,从而降低乳房癌的漏诊和误诊率。经验证,经过伪彩色增强后的数字乳房X片病灶区域的可分辨性明显优于原数字图像,有较高的临床价值。     

The effect of defocusing on the electron microscopic image of the extended particle of pyocin R1

The effect of defocusing on the electron microscopic image of the extended particle of pyocin R1 was examined with the aid of optical diffraction. The results show that the through-focus image of the cross-striated particle changed to a fishbone-like image with a little under-focusing, which had been considered to be a transitional state during the sheath contraction of phage G. In the optical diffraction pattern of the defocused image, a strong meridional reflection corresponding to the distance of cross-striations in the through-focus image almost disappeared, supporting the change to the fishbone-like image on defocusing.     

Blind Image Blur Assessment Using Singular Value Similarity and Blur Comparisons

The increasing number of demanding consumer image applications has led to increased interest in no-reference objective image quality assessment (IQA) algorithms. In this paper, we propose a new blind blur index for still images based on singular value similarity. The algorithm consists of three steps. First, a re-blurred image is produced by applying a Gaussian blur to the test image. Second, a singular value decomposition is performed on the test image and re-blurred image. Finally, an image blur index is constructed based on singular value similarity. The experimental results obtained on four simulated databases to demonstrate that the proposed algorithm has high correlation with human judgment when assessing blur or noise distortion of images.     

Image Quality Assessment Based on Inter-Patch and Intra-Patch Similarity

In this paper, we propose a full-reference (FR) image quality assessment (IQA) scheme, which evaluates image fidelity from two aspects: the inter-patch similarity and the intra-patch similarity. The scheme is performed in a patch-wise fashion so that a quality map can be obtained. On one hand, we investigate the disparity between one image patch and its adjacent ones. This disparity is visually described by an inter-patch feature, where the hybrid effect of luminance masking and contrast masking is taken into account. The inter-patch similarity is further measured by modifying the normalized correlation coefficient (NCC). On the other hand, we also attach importance to the impact of image contents within one patch on the IQA problem. For the intra-patch feature, we consider image curvature as an important complement of image gradient. According to local image contents, the intra-patch similarity is measured by adaptively comparing image curvature and gradient. Besides, a nonlinear integration of the inter-patch and intra-patch similarity is presented to obtain an overall score of image quality. The experiments conducted on six publicly available image databases show that our scheme achieves better performance in comparison with several state-of-the-art schemes.     

Bone-induced streak artifact suppression in sparse-view CT image reconstruction

ABSTRACT: BACKGROUND: In sparse-view CT imaging, strong streak artifacts may appear around bony structures and they often compromise the image readability. Compressed sensing (CS) or total variation (TV) minimization-based image reconstruction method has reduced the streak artifacts to a great extent, but, sparse-view CT imaging still suffers from residual streak artifacts. We introduce a new bone-induced streak artifact reduction method in the CS-based image reconstruction. METHODS: We firstly identify the high-intensity bony regions from the image reconstructed by the filtered backprojection (FBP) method, and we calculate the sinogram stemming from the bony regions only. Then, we subtract the calculated sinogram, which stands for the bony regions, from the measured sinogram before performing the CS-based image reconstruction. The image reconstructed from the subtracted sinogram will stand for the soft tissues with little streak artifacts on it. To restore the original image intensity in the bony regions, we add the bony region image, which has been identified from the FBP image, to the soft tissue image to form a combined image. Then, we perform the CS-based image reconstruction again on the measured sinogram using the combined image as the initial condition of the iteration. For experimental validation of the proposed method, we take images of a contrast phantom and a rat using a micro-CT and we evaluate the reconstructed images based on two figures of merit, relative mean square error and total variation caused by the streak artifacts. RESULTS: The images reconstructed by the proposed method have been found to have smaller streak artifacts than the ones reconstructed by the original CS-based method when visually inspected. The quantitative image evaluation studies have also shown that the proposed method outperforms the conventional CS-based method. CONCLUSIONS: The proposed method can effectively suppress streak artifacts stemming from bony structures in sparse-view CT imaging.     

GelScape: a web-based server for interactively annotating, manipulating, comparing and archiving 1D and 2D gel images

GelScape is a web-based tool that permits facile, interactive annotation, comparison, manipulation and storage of protein gel images. It uses Java applet-servlet technology to allow rapid, remote image handling and image processing in a platform-independent manner. It supports many of the features found in commercial, stand-alone gel analysis software including spot annotation, spot integration, gel warping, image resizing, HTML image mapping, image overlaying as well as the storage of gel image and gel annotation data in compliance with Federated Gel Database requirements.     

基于PET医学图像边缘检测算法的研究

目的:边缘检测在图像处理中至关重要,可被广泛应用于目标区域识别、区域形状检测、图像分割等图像分析领域。边缘是图像中不平稳现象和不规则结构的重要表现,往往携带着图像中的大量信息,并给出图像轮廓。在医学图像三维显示技术中,为了更精确的临床判别需要得到单像素的清晰轮廓,因此我们提出一种新的边缘检测算法。方法:在传统的小波边缘检测的基础上,提出了一种新的边缘算法,即基于小波极大值边缘检测算法,应用模糊算法构造相应的隶属函数,再对得到的极大值进一步筛选。结果:将该算法应用到医学图像中,最终可以得到较清楚的单像素边缘轮廓,实验结果证明了该算法的可行性。结论:运用这种算法处理过的医学图像边缘锐化更好,更清晰,能够为肿瘤的早期识别提供依据,满足医学影像识别的需要。     

透视图像亮度自动控制

X射线机所配置的影像增强器电视系统在进行人体透视时,当人体部位密度改变,监视器荧屏图像亮度将随之发生变化。为了保持监视器荧屏图像亮度的稳定性,采用透视图像亮度自动控制是十分必要的,其有助于保证X射线成像质量,提高临床诊断效率并给临床操作带来很大的便利。     

THE RELATION BETWEEN SENSORY, LIKING AND IMAGE ATTRIBUTES: THE CASE OF SOAP

This paper discusses the relation for soaps between sensory attributes and both liking and image attributes. A clear relation emerges between sensory attribute level and liking, but no clear relation emerges between sensory attributes and image attributes. There are two possible conclusions to be drawn from these results. One conclusion is that consumers can validly assign ratings to the image attribute of a soap, but that there is no way to trace this image rating back to sensory inputs. This conclusion suggests that more research is needed to understand the meaning of image attributes. The second conclusion is that consumers cannot validly rate the image attributes of a soap, even though they can complete the questionnaire. This second conclusion implies that consumers can validly rate some attributes (e.g., sensory, liking), but not others (e.g., image), and that it may be misleading to collect and attempt to analyze image ratings for health and beauty aids products.     

Image Quality Improvement in Adaptive Optics Scanning Laser Ophthalmoscopy Assisted Capillary Visualization Using B-spline-based Elastic Image Registration

Purpose

To investigate the effect of B-spline-based elastic image registration on adaptive optics scanning laser ophthalmoscopy (AO-SLO)-assisted capillary visualization.

Methods

AO-SLO videos were acquired from parafoveal areas in the eyes of healthy subjects and patients with various diseases. After nonlinear image registration, the image quality of capillary images constructed from AO-SLO videos using motion contrast enhancement was compared before and after B-spline-based elastic (nonlinear) image registration performed using ImageJ. For objective comparison of image quality, contrast-to-noise ratios (CNRS) for vessel images were calculated. For subjective comparison, experienced ophthalmologists ranked images on a 5-point scale.

Results

All AO-SLO videos were successfully stabilized by elastic image registration. CNR was significantly higher in capillary images stabilized by elastic image registration than in those stabilized without registration. The average ratio of CNR in images with elastic image registration to CNR in images without elastic image registration was 2.10 ± 1.73, with no significant difference in the ratio between patients and healthy subjects. Improvement of image quality was also supported by expert comparison.

Conclusions

Use of B-spline-based elastic image registration in AO-SLO-assisted capillary visualization was effective for enhancing image quality both objectively and subjectively.     

医学图像融合配准技术

图像融合技术在现代医学中扮演着极其重要的角色,是现代医学图像技术研究的重点。图像融合技术中,图像的配准又是其中的重点、难点和热点。本文按照图像变换特性对图像配准进行了分类,对每个类别的不同配准方法(特征点的获取、图像配准的变换等)进行介绍。但是,图像配准是一个尚处在发展阶段的学科,实现配准的精确化、快速化、自动化仍需要进一步的努力。     

High Throughput Screening of Gene Expression Signatures

This paper focuses on microarray image analysis and discusses a completely automated approach to image processing, which eliminates human intervention. A system for automated image processing is described, which is capable of processing image files in a batch-mode thus allowing high-throughput of microarray image analysis. Grid-placement and spot finding are achieved without operator's help. The software eliminates noise signals from the data analysis process and minimizes operator's involvement in the procedure.     

A New Color Image Encryption Scheme Using CML and a Fractional-Order Chaotic System

The chaos-based image cryptosystems have been widely investigated in recent years to provide real-time encryption and transmission. In this paper, a novel color image encryption algorithm by using coupled-map lattices (CML) and a fractional-order chaotic system is proposed to enhance the security and robustness of the encryption algorithms with a permutation-diffusion structure. To make the encryption procedure more confusing and complex, an image division-shuffling process is put forward, where the plain-image is first divided into four sub-images, and then the position of the pixels in the whole image is shuffled. In order to generate initial conditions and parameters of two chaotic systems, a 280-bit long external secret key is employed. The key space analysis, various statistical analysis, information entropy analysis, differential analysis and key sensitivity analysis are introduced to test the security of the new image encryption algorithm. The cryptosystem speed is analyzed and tested as well. Experimental results confirm that, in comparison to other image encryption schemes, the new algorithm has higher security and is fast for practical image encryption. Moreover, an extensive tolerance analysis of some common image processing operations such as noise adding, cropping, JPEG compression, rotation, brightening and darkening, has been performed on the proposed image encryption technique. Corresponding results reveal that the proposed image encryption method has good robustness against some image processing operations and geometric attacks.