3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the最新文献_第9页

Widely linear MMSE equalizer for MIMO linear time-dispersive channel 用于MIMO线性时间色散信道的宽线性MMSE均衡器

3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the Pub Date : 2003-09-18 DOI: 10.1109/ISPA.2003.1296501

D. Mattera, L. Paura, F. Sterle

引用次数: 11

Scalable reduced dimension object segmentation based adaptive progressive color-image coding 基于自适应渐进彩色图像编码的可伸缩降维目标分割

3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the Pub Date : 2003-09-18 DOI: 10.1109/ISPA.2003.1296904

Lei Zhang, Guofang Tu

{"title":"Scalable reduced dimension object segmentation based adaptive progressive color-image coding","authors":"Lei Zhang, Guofang Tu","doi":"10.1109/ISPA.2003.1296904","DOIUrl":"https://doi.org/10.1109/ISPA.2003.1296904","url":null,"abstract":"A fast and efficient wavelet image-coding algorithm based on scalable reduced dimension object segmentation (SRDOS) introduced by L. Zhang et al. (2003) is presented in this paper. The object is segmented with the lifting scheme right after wavelet transform. It is the reduced dimension space of the transform domain in which SRDOS algorithm is applied to detect and segment the object with lower complexity and more sufficient accuracy. Due to the characteristics of multi-scale segmentation and higher performance/complexity, SRDOS adapts to object-oriented adaptive progressive wavelet color-image coding. For higher compression ratio, coding algorithm takes advantage of the relationship of the same spatial location at the same scale to remove spatial redundancy of the landscape orientation and applies context-based arithmetic coding algorithm to reduce spatial redundancy of the vertical orientation. For keeping important information, object and non-object have different quantizers and priorities respectively. The experiments show that SRDOS based coding algorithm gains higher subject visual quality and image peak signal to noise ratio (ISNR).","PeriodicalId":218932,"journal":{"name":"3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130906441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Combined speech and video scalable coding: a UMTS case study 结合语音和视频可扩展编码:UMTS案例研究

3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the Pub Date : 2003-09-18 DOI: 10.1109/ISPA.2003.1296497

G. Iacovoni, J. Mancinelli, G.L. Persia, S. Morsa

引用次数: 0

Progressive near-lossless coding of medical images 渐进式医学图像近无损编码

3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the Pub Date : 2003-09-18 DOI: 10.1109/ISPA.2003.1296894

A. Krivoulets

引用次数: 6

Ultra low bit-rate image coding algorithm based on fractal image coding 基于分形图像编码的超低比特率图像编码算法

3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the Pub Date : 2003-09-18 DOI: 10.1109/ISPA.2003.1296433

M. Takezawa, M. Haseyama, H. Kitajima

引用次数: 2

Automatic landmark detection on chromosomes' images for feature extraction purposes 基于特征提取的染色体图像自动地标检测

3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the Pub Date : 2003-09-18 DOI: 10.1109/ISPA.2003.1296960

Mehdi Moradi, S. Setarehdan, S. Ghaffari

{"title":"Automatic landmark detection on chromosomes' images for feature extraction purposes","authors":"Mehdi Moradi, S. Setarehdan, S. Ghaffari","doi":"10.1109/ISPA.2003.1296960","DOIUrl":"https://doi.org/10.1109/ISPA.2003.1296960","url":null,"abstract":"Valuable medical information can be achieved by analysing shape and appearance of human chromosomes. Karyotype, an image of collection of all 23 pairs of human chromosomes, is usually used for this purpose. Making a Karyotype is hard and time consuming, encouraging experts in the image processing and machine vision field to work towards an automatic Karyotyping method. The first step in automation of this process is to define the geometric (morphologic) and intensity based features of the chromosome originating mostly from its banding pattern. As part of a complete project, which is defined to develop a new knowledge based classification technique for chromosomes, a number of new features in addition to the commonly used geometric and intensity based features, are introduced in this paper. Some of the features are computed using the so-called medial axis transform (MAT). For an accurate determination of most of these features it is necessary, however, to identify some key points or landmarks in the image (mostly over the MAT). This paper describes novel algorithms developed to locate such landmarks as centromere, end points of chromosome and two points defined as branching points on the chromosome axis. The algorithms have been tested on the real images supplied by the cytogenetic laboratory of Cancer Institute, University of Tehran. The automatically defined positions of the landmarks have been compared to those manually identified by an expert. In most of the cases the results were in complete agreement.","PeriodicalId":218932,"journal":{"name":"3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128270255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 20

LIBS chemical image analysis for fatigue estimation in industrial materials 用于工业材料疲劳估计的LIBS化学图像分析

3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the Pub Date : 2003-09-18 DOI: 10.1109/ISPA.2003.1296920

A. Mora, J. Fonseca, J. Martins, A. Steiger-Garção

引用次数: 1

Text identification in color documents 彩色文档中的文本识别

3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the Pub Date : 2003-09-18 DOI: 10.1109/ISPA.2003.1296366

C. Strouthopoulos, N. Papamarkos, A. Atsalakis, C. Chamzas

引用次数: 3

A new approach for the blind deconvolution of nonlinear systems based on a high-order statistical criterium 基于高阶统计准则的非线性系统盲反卷积新方法

3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the Pub Date : 2003-09-18 DOI: 10.1109/ISPA.2003.1296472

J. Destro-Filho

引用次数: 0

Exact image reconstruction using a limited number of projection samples 精确的图像重建使用有限数量的投影样本

3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the Pub Date : 2003-09-18 DOI: 10.1109/ISPA.2003.1296942

A. Kesidis, Nikolaos Papamarkos

{"title":"Exact image reconstruction using a limited number of projection samples","authors":"A. Kesidis, Nikolaos Papamarkos","doi":"10.1109/ISPA.2003.1296942","DOIUrl":"https://doi.org/10.1109/ISPA.2003.1296942","url":null,"abstract":"A new method for the exact reconstruction of any grayscale image from a limited number of projection samples is proposed. The original image is projected into certain projection angles using a proper projection angle step and a proper number of ray samples on the projection axis. If these conditions are fulfilled the proposed method ensures that for each image pixel a characteristic sample exists which allows the determination of the pixel's grayscale value during the reconstruction phase. Thus, instead of calculating all the projection samples of the image on several projection angles, in the proposed method only a specific number of samples is required that equals the number of pixels in the original image. During the reconstruction procedure the characteristic samples are examined consequently starting from those corresponding to pixels further from the origin and continuing with the closer image pixels. This approach leads to significant reduction of memory and processing time requirements since a simple sequence of samples is used instead of all the data from the image projections.","PeriodicalId":218932,"journal":{"name":"3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the","volume":"36 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2003-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116409381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2