检索结果-内蒙古大学图书馆

Color Distribution Information for the Reduced-Reference Assessment of Perceived image Quality

ieee TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 2010年第12期20卷 1757-1769页

作者： Redi, Judith A. Gastaldo, Paolo Heynderickx, Ingrid Zunino, Rodolfo Delft Univ Technol Mediamat Dept NL-2628 CD Delft Netherlands Univ Genoa Dept Biophys & Elect Engn I-16145 Genoa Italy Philips Res Labs NL-5656 Aa Eindhoven Netherlands

Reduced-reference systems can predict in real-time the perceived quality of images for digital broadcasting, only requiring that a limited set of features, extracted from the original undistorted signals, is transmitted together with the image data. This paper uses descriptors based on the color correlogram, analyzing the alterations in the color distribution of an image as a consequence of the occurrence of distortions, for the reduced-reference data. The processing architecture relies on a double layer at the receiver end. The first layer identifies the kind of distortion that may affect the received signal. The second layer deploys a dedicated prediction module for each type of distortion;every predictor yields an objective quality score, thus completing the estimation process. computational-intelligence models are used extensively to support both layers with empirical training. The double-layer architecture implements a general-purpose image quality assessment system, not being tied up to specific distortions and, at the same time, it allows us to benefit from the accuracy of specific, distortion-targeted metrics. Experimental results based on subjective quality data confirm the general validity of the approach.

关键词： computational intelligence correlogram image quality assessment

来源：评论

学校读者我要写书评

暂无评论

A Line Tracking Algorithm Based on image processing 12

A Line Tracking Algorithm Based on Image Processing

引用

12th ieee International symposium on Applied computational intelligence and Informatics (SACI)

作者： Kondakor, Andras Torcsvari, Zsombor Nagy, Akos Vajk, Istvan Budapest Univ Technol & Econ Dept Automat & Appl Informat Budapest Hungary

ISBN: (纸本)9781538646403

Line follower robots can be used for many important robotic and industrial tasks. One of the most important factors in these methods is the computational requirement of the algorithm. The paper presents a novel method for the line following problem using image processing technique. Our main goal is to find an efficient way with real-time computing to track a line using a camera-equipped robot. To measure the effectiveness of the presented method, we compare two line following robots with the line tracking method being the only difference between them. The first robot uses the proposed camera-based method and the other robot has reflective optical sensors in order to determine the position of the line. These real life experiments demonstrate the efficiency of the presented method.

关键词： Robot sensing systems Cameras image color analysis Gray-scale Task analysis"

来源：评论

学校读者我要写书评

暂无评论

Boundary refined texture segmentation based on K-Views and datagram methods

Boundary refined texture segmentation based on K-Views and d...

引用

ieee symposium on computational intelligence in image and signal processing

作者： Song, Emnin Jin, Renchao Hung, Chih-Cheng Luo, Yu Xu, Xiangyang Huazhong Univ Sci & Technol Sch Comp Sci & Technol Wuhan 430074 Hubei Peoples R China Southern Polytech State Univ Sch Comp & Software Engn Marietta GA 30060 USA

ISBN: (纸本)9781424407071

We propose a new texture segmentation algorithm to improve the segmentation of boundary areas in the image. In some applications such as medical image segmentation, an exact segmentation on the boundary areas is needed. But satisfactory segmentation results cannot be obtained on the boundary areas among different texture classes with some existing texture segmentation algorithms in our preliminary experiments. The proposed algorithm consists of three steps. The first step is to apply the K-View-datagram segmentation method to the image to obtain an initial segmentation;the second step is to find a boundary set which includes the pixels with high probabilities to be misclassified by the initial K-View-datagram segmentation;the third step is to apply a modified K-views template method with a small scanning window to the boundary set to refine the segmentation. The evaluation of the proposed algorithm was carried out with the benchmark images randomly taken from Brodatz Gallery and the ultrasonic prostate images provided by the hospitals. Initial experimental results show that the concept of boundary set defined in this paper can catch most of misclassified pixels of the output of the initial K-View-datagram segmentation. The new segmentation algorithm gives high segmentation accuracy and classifies the boundary areas better than the existing algorithms.

关键词： image segmentation

来源：评论

学校读者我要写书评

暂无评论

Implementing a System for Diagnosing Pulmonary Fibrosis using Hough Algorithm 15

Implementing a System for Diagnosing Pulmonary Fibrosis usin...

引用

ieee 15th International symposium on Applied computational intelligence and Informatics (SACI)

作者： Stancioi, Cristina-Maria Clitan, Iulia Mihai, Abrudean Muresan, Vlad Unguresan, Mihaela-Ligia Tech Univ Cluj Napoca Automat Dept Cluj Napoca Romania Tech Univ Cluj Napoca Phys & Chem Dept Cluj Napoca Romania

ISBN: (纸本)9781728195438

The main objective of this paper by using image processing algorithms, mainly Hough algorithm, to develop a system which is able to analyze, process and put in evidence all the necessary features of a CT image for diagnosing pulmonary fibrosis. To approach the presented topic, image processing algorithms, image filtering, together with the Matlab work environment were combined and the optimal solution was finally implemented. The main idea behind the method is to identify two types of lines of the CT image which gives to the specialist the correct diagnostic by interpreting the obtained results. As final results, the chosen solution incorporates some crucial steps which have to be done in order to obtain the desired processed image with all the important details visible. The final solution was tested on different CT images and the medical specialist used it for detecting this type of disease, the detection being very easily mistaken.

关键词： fibrosis pulmonary Hough algorithm diagnostic CT image disease

来源：评论

学校读者我要写书评

暂无评论

2-D block Kalman Filter with Colored Driving Source for image Restoration Using Adaptive image Modeling

2-D block Kalman Filter with Colored Driving Source for Imag...

引用

ieee International symposium on signal processing and Information Technology (ISSPIT)

作者： Nagayasu, Ryu Tanabe, Nari Furukawa, Toshihiro Tokyo Univ Sci Shinjuku Ku Tokyo 1628601 Japan Tokyo Univ Sci Nagano 3910292 Japan

ISBN: (纸本)9781479947966

This paper presents a fast image restoration method using the 2-D block Kalman filter with colored driving source. The remarkable feature of the proposed method is reduced computational complexity using the high correlation pixels of current region and reference region, while the conventional 2-D block Kalman filter methods performed image restoration without considering the relationship between the reference region and the current region. We have shown the effectiveness of the proposed method by numerical results and subjective evaluation results.

关键词： image restoration 2-D block Kalman filter colored dricing source blur and noise

来源：评论

学校读者我要写书评

暂无评论

The Foundations of computational Imaging: A signal processing perspective

引用

ieee signal processing MAGAZINE 2023年第5期40卷 40-53页

作者： Karl, W. Clem Fowler, James E. Bouman, Charles A. Cetin, Mujdat Wohlberg, Brendt Ye, Jong Chul Boston Univ Elect & Comp Engn Dept Boston MA 02215 USA Boston Univ Biomed Engn Dept Boston MA 02215 USA Mississippi State Univ Dept Elect & Comp Engn Mississippi State MS 39762 USA Purdue Univ Elect & Comp Engn & Biomed Engn W Lafayette IN 47907 USA Univ Rochester Elect & Comp Engn & Comp Sci Rochester NY 14627 USA Univ Rochester Goergen Inst Data Sci Rochester NY 14627 USA Univ Rochester New York State Ctr Excellence Data Sci Rochester NY 14627 USA Los Alamos Natl Lab Theoret Div Los Alamos NM 87545 USA Korea Adv Inst Sci & Technol KAIST Kim Jaechul Grad Sch Artificial Intelligence Daejon 305701 South Korea Korea Adv Inst Sci & Technol KAIST Dept Math Sci Daejon 305701 South Korea Korea Adv Inst Sci & Technol KAIST Dept Bio & Brain Engn Daejon 305701 South Korea

Twenty-five years ago, the field of computational imaging arguably did not exist, at least not as a standalone arena of research activity and technical development. Of course, the idea of using computation to form images had been around for several decades, largely thanks to the development of medical imaging-such as magnetic resonance imaging (MRI) and X-ray tomography-in the 1970s and synthetic-aperture radar (SAR) even earlier. Yet, a quarter of a century ago, such technologies would have been considered to be a subfocus of the wider field of image processing. This view started to change, however, in the late 1990s with a series of innovations that established computational imaging as a scientific and technical pursuit in its own right.

关键词： Technological innovation Magnetic resonance imaging signal processing algorithms Radar imaging image processing Synthetic aperture radar Radar polarimetry X-ray imaging History

来源：评论

学校读者我要写书评

暂无评论

Novel Float Glass Thickness Measurement based on image processing

Novel Float Glass Thickness Measurement based on Image Proce...

引用

1st International symposium on computational intelligence and Design

作者： Yang Ni Wang Yu-tian Yanshan Univ Measurement Technol & Instrumentat Key Lab Hebei He Bei Qin Huangdao 066004 Peoples R China

ISBN: (纸本)9780769533117

Non-touch on-line thickness measurement using CCD vision system is present. Measurement principle, composition of the detection system and the operation process are expatiated. Mathematical morphology theory is successfully used in thickness image analysis and image processing. Distance of two light beams represents the measured thickness. Center orientation is a key aspect of improving precision of thickness measurement. Morphology thinning algorithm is proposed to locate the central lines of line-structured light image. The algorithm can safely thin entities to their central points. Experimental results show that the measurement error is less than 0.8%, and the morphological algorithm presented here is adaptable to real time image processing.

关键词： Glass Thickness measurement image processing Charge coupled devices Surface morphology Laser beams Velocity measurement Electromagnetic measurements Optical refraction image analysis

来源：评论

学校读者我要写书评

暂无评论

Iterative image Subset Scanning for image Reconstruction From Sensor signals 15

Iterative Image Subset Scanning for Image Reconstruction Fro...

引用

ieee International symposium on signal processing and Information Technology (ISSPIT)

作者： Cherubini, Giovanni Hurley, Paul Simeoni, Matthieu Kazemi, Sanaz IBM Res Zurich CH-8803 Ruschlikon Switzerland

ISBN: (纸本)9781509004805

image reconstruction techniques from signals received by sensors find application in several fields, including radio interferometry for astronomical investigations and magnetic resonance imaging for medical applications. This paper presents a novel method for image reconstruction based on the iterative scanning of a region of interest. A modified approximate message passing (AMP) algorithm is adopted to extract relevant image information with low computational complexity from signals received by sensors. The method is illustrated by simulations, with reference to the LOFAR radio interferometer, and compared in the case of radio astronomy with the CLEAN algorithm.

关键词： AMP algorithm imaging sensor arrays

来源：评论

学校读者我要写书评

暂无评论

3D Shape Estimation With an Enhanced Sparse Representation Approach

引用

ieee signal processing LETTERS 2021年 28卷 1685-1688页

作者： Wang, Jia-Xiang Sun, Zhan-Li Zeng, Zhi-Gang Lam, Kin-Man Anhui Univ Sch Artificial Intelligence Hefei 230000 Peoples R China Huazhong Univ Sci & Technol Sch Artificial Intelligence & Automat Wuhan 430074 Peoples R China Hong Kong Polytech Univ Dept Elect & Informat Engn Hong Kong Peoples R China

In this paper, an enhanced sparse representation approach is proposed to estimate the 3D shapes of objects in 2D image sequences. In the proposed method, the unknown 3D shape is estimated via a two-stage scheme, namely the main 3D shape estimation stage and the compensatory 3D shape estimation stage. Moreover, a reweighted sparse representation model is constructed to extract the shape bases for each estimation stage. In the sparse model, a reweighted constraint is enforced to enhance the coefficient sparsity of the shape bases. Experimental results on the well-known CMU image sequences demonstrate the effectiveness and feasibility of the proposed approach.

关键词： Shape Three-dimensional displays Estimation Solid modeling computational modeling signal processing algorithms image reconstruction Non-rigid structure from motion sparse representation model 3D reconstruction

来源：评论

学校读者我要写书评

暂无评论

Two-stage Racetrack Segmentation Method using Color Feature Filtering and Superpixel-based Convolutional Neural Network 12

Two-stage Racetrack Segmentation Method using Color Feature ...

引用

12th ieee International symposium on Applied computational intelligence and Informatics (SACI)

作者： Hollosi, Janos Horvath, Erno Pozna, Claudiu Radu Szechenyi Istvan Univ Dept Informat Technol Gyor Hungary Transilvania Univ Brasov Dept Automat Brasov Romania

ISBN: (纸本)9781538646403

The Szechenyi Istvan University race car team is an active and successful participant of the Shell Eco-marathon for long time ago. The Shell introduces the autonomous vehicle category on the Eco-marathon for 2018. Our long-term goal is to make the Szenergy racing team's vehicle suitable for the autonomous category. The first milestone is to make a reliable computer vision based intelligent detection system that understands the environment of the racing car. In this paper we will present a solution for racetrack detection i.e. a fusion of image processing and neural network systems. The two-stage recognition system is at the first phase an image processing algorithm which finds the red-white and blue-white striped edge of the road, and at the second phase, a pre-trained superpixel-based neural network which recognize the road on the filtered image.

关键词： Roads image color analysis image segmentation Convolutional neural networks image edge detection"

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：