’98 SGIA回顾

一个多世纪前,成千上万的美国拓荒者途经堪萨斯城时,他们还可以目睹当时美国文明的印迹——大蓬车。今天,马蹄声和大蓬车已经成为昨日历史。但是,在技术进步和创新方面,堪萨斯这个内陆城市仍然走在时代的前列。1998年10月7日至9日。

Improving Image Copy-Move Forgery Detection with Particle Swarm Optimization Techniques

Copy-Move Forgery(CMF) is one of the simple and effective operations to create forged digital images.Recently,techniques based on Scale Invariant Features Transform(SIFT) are widely used to detect CMF.Various approaches under the SIFT-based framework are the most acceptable ways to CMF detection due to their robust performance.However,for some CMF images,these approaches cannot produce satisfactory detection results.For instance,the number of the matched keypoints may be too less to prove an image to be a CMF image or to generate an accurate result.Sometimes these approaches may even produce error results.According to our observations,one of the reasons is that detection results produced by the SIFT-based framework depend highly on parameters whose values are often determined with experiences.These values are only applicable to a few images,which limits their application.To solve the problem,a novel approach named as CMF Detection with Particle Swarm Optimization(CMFDPSO) is proposed in this paper.CMFD-PSO integrates the Particle Swarm Optimization(PSO) algorithm into the SIFT-based framework.It utilizes the PSO algorithm to generate customized parameter values for images,which are used for CMF detection under the SIFT-based framework.Experimental results show that CMFD-PSO has good performance.

Imaging techniques used for the real-time assessment of angiogenesis in digestive cancers

Angiogenesis has a critical role in primary tumor growth and the development of metastases.Several angiogenesis inhibitors were recently developed,being a very attractive target for digestive tumor therapy.However,individualized therapy should not only be based on the pre-treatment imaging evaluation,but also on sensitive monitoring of microvascular changes during treatment.State-of-theart imaging techniques have the potential to visualize and characterize angiogenesis,although the technology and methodologies employed are recent and need further validation.The aim of this series of reviews was to analyze and enhance current knowledge and future perspectives about the real-time assessment of angiogenesis in digestive cancers,used for the longitudinal monitoring of the effects of chemo-radiotherapy(including anti-angiogenic therapies),as well as for the precise targeting of drugs through molecular-based drug-delivery systems.

Quantum Dots for Cancer Research:Current Status,Remaining Issues,and Future Perspectives

Cancer is a major threat to public health in the 21st century because it is one of the leading causes of death worldwide.The mechanisms of carcinogenesis,cancer invasion,and metastasis remain unclear.Thus,the development of a novel approach for cancer detection is urgent,and real-time monitoring is crucial in revealing its underlying biological mechanisms.With the optical and chemical advantages of quantum dots(QDs),QD-based nanotechnology is helpful in constructing a biomedical imaging platform for cancer behavior study.This review mainly focuses on the application of QD-based nanotechnology in cancer cell imaging and tumor microenvironment studies both in vivo and in vitro,as well as the remaining issues and future perspectives.

Novel Retinex algorithm by interpolation and adaptive noise suppression

In order to improve image quality, a novel Retinex algorithm for image enhancement was presented. Different from conventional algorithms, it was based on certain defined points containing the illumination information in the intensity image to estimate the illumination. After locating the points, the whole illumination image was computed by an interpolation technique. When attempting to recover the reflectance image, an adaptive method which can be considered as an optimization problem was employed to suppress noise in dark environments and keep details in other areas. For color images, it was taken in the band of each channel separately. Experimental results demonstrate that the proposed algorithm is superior to the traditional Retinex algorithms in image entropy.

Incorporation of Cutting for Customized Suits

The theoretical male body size and its distribution plan are studied in consideration with the nation standard and the information provided by several garment companies. Through nine times tries of marking two suits with the CAD marking module, the fabric length and rates are derived. The formulas of the marking fabric length, the length total, and the girth total are obtained by using SPSS software. Moreover, by comparing the two incorporation methods of cutting in which one in the arithmetic sequence and the other in the geometric sequence, it is found that the one in the arithmetic sequence is better than the one in the geometric sequence.

Intelligent Vehicle Driving Controller Design and Implementation Evaluation

An intelligent vehicle control system is designed and embedded in a Digital Signal Processing （DSP） platform （eZdspTM F2812）. A golf cart is used as an installation platform for the overall system, including steering wheel Alternating Current （AC） serve motor, brake actuator, throttle driving circuit and sensors. Digital image processing technology is also used to enable the autonomous driving system to achieve multi-mode lane-keeping, lane-change and obstacle-avoidance. The overall system is tested and evaluated on a university campus.

A New Feature-Based Image Registration Algorithm

IR （Image Registration） is one of the important operation of image processing system which is the process of aligning two or more images into one coordinate system that are taken at different times, from different sensors, or from different viewpoints. It has a lot of applications especially medical imaging and remote sensing. The main purpose of this paper is to provide a comprehensive review of existing literatures available on image registration system and proposed a new feature-based IR technique using edge of images. We used edges as a feature of images for registration. It will be a useful document for researchers who will work on feature-based image registration regardless for specific applications.

Ageing Assessment, Condition Inspection and Lifetime Evaluation for Safety Related Fuse in Nuclear Power Plant

This paper presents the ageing mechanism of fuse in nuclear power plant in detail. Metal Electromigration is identified as the dominant ageing mechanism. On this basis, the dominant status indicators, temperature and resistance of fuse were ensured, and current-temperature curve was proposed. The infrared thermal imaging technology was used to inspect the ageing condition and prove the current-temperature curve. Finally, the accelerated ageing testing was conducted abiding by the dominant ageing mechanism, and the lifetime was evaluated.

A Connectome Computation System for discovery science of brain

Much like genomics, brain connectomics has rapidly become a core component of most national brain projects around the world. Beyond the ambitious aims of these projects, a fundamental challenge is the need for an efficient, robust, reliable and easy-to-use pipeline to mine such large neuroscience datasets. Here, we introduce a computational pipeline--namely the Connectome Compu- tation System （CCS）-for discovery science of human brain connectomes at the macroscale with multimodal magnetic resonance imaging technologies. The CCS is designed with a three-level hierarchical structure that includes data cleaning and preprocessing, individual connectome mapping andconnectome mining, and knowledge discovery. Several functional modules are embedded into this hierarchy to implement quality control procedures, reliability analysis and connectome visualization. We demonstrate the utility of the CCS based upon a publicly available dataset, the NKI- Rockland Sample, to delineate the normative trajectories of well-known large-scale neural networks across the natural life span （6-85 years of age）. The CCS has been made freely available to the public via GitHub （https：//github.com/ zuoxinian/CCS） and our laboratory＇s Web site （http：//lfcd. psych.ac.cn/ccs.html） to facilitate progress in discovery science in the field of human brain connectomics.