4th IEEE Southwest Symposium on Image Analysis and Interpretation最新文献_第6页

A neural network approach to geographic image analysis 地理图像分析的神经网络方法

4th IEEE Southwest Symposium on Image Analysis and Interpretation Pub Date : 2000-04-02 DOI: 10.1109/IAI.2000.839571

P. Tchimev, Naoya Moritani, G. Georgiev, I. Valova

引用次数: 0

Towards knowledge-based extraction of roads from 1 m-resolution satellite images 基于知识的1米分辨率卫星图像道路提取

4th IEEE Southwest Symposium on Image Analysis and Interpretation Pub Date : 2000-04-02 DOI: 10.1109/IAI.2000.839594

Hae-Yeoun Lee, Heung-Kyu Lee, Tak-gon Kim, W. Park

{"title":"Towards knowledge-based extraction of roads from 1 m-resolution satellite images","authors":"Hae-Yeoun Lee, Heung-Kyu Lee, Tak-gon Kim, W. Park","doi":"10.1109/IAI.2000.839594","DOIUrl":"https://doi.org/10.1109/IAI.2000.839594","url":null,"abstract":"As the IKONOS satellite with 1 m-resolution camera was launched in 1999, mapping using spaceborne images will be an important issue in the computer vision area as well as photogrammetry, mainly because most major man-made objects of interest can be identifiable. One of the automatically identifiable objects of importance may be roads. Detecting roads using edge detection approaches may be very difficult because a number of edge elements from such as buildings, etc., can be generated from edge detector. In this paper, we propose a method for the extraction of approximated road regions based on region segmentation that utilizes region information. Our method consists of the following three steps. First, an image is segmented using the modified hierarchical multi-scale gradient watershed transformation. Then, the road candidates are identified using information about road gray level, elongatedness and connectedness. The identified road candidates are expanded by connecting the close-by roads knowing that roads are connected objects. Our method was tested on the simulated spaceborne images and the result shows that the automation of road extraction is quite promising.","PeriodicalId":224112,"journal":{"name":"4th IEEE Southwest Symposium on Image Analysis and Interpretation","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132908009","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: 26

A simple and efficient method for image segmentation with deformable templates 一个简单而有效的方法，图像分割与变形模板

4th IEEE Southwest Symposium on Image Analysis and Interpretation Pub Date : 2000-04-02 DOI: 10.1109/IAI.2000.839566

M. Skouson, M. Kowalski

引用次数: 3

Accurate object outlining by combining space-variant smoothing and interactive editing with the thinning process 结合空间变化平滑和交互式编辑与细化过程精确的对象轮廓

4th IEEE Southwest Symposium on Image Analysis and Interpretation Pub Date : 2000-04-02 DOI: 10.1109/IAI.2000.839582

O. Ikeda, Byeong-Yong Kim, Qinglian Guo

{"title":"Accurate object outlining by combining space-variant smoothing and interactive editing with the thinning process","authors":"O. Ikeda, Byeong-Yong Kim, Qinglian Guo","doi":"10.1109/IAI.2000.839582","DOIUrl":"https://doi.org/10.1109/IAI.2000.839582","url":null,"abstract":"Outlining of objects for two-dimensional images is of great importance in computer graphics, multimedia design, and medical applications. It is however, difficult to get a clear boundary with the existing automatic outlining methods, when a two-dimensional image contains inaccurate information. Here, we present a new algorithm to solve the problem by combining space-variant smoothing and interactive editing with a thinning process. By performing space-variant smoothing, we are able to extract boundary outlines based on local gradient variation and global gray-scale information. By using interactive editing, we are able to pick up a competing path with the one initially produced. This edition is accomplished by manipulating the gradient field. The new algorithm provides an effective way to correct the potential mistakes caused by inaccurate information in original images, and to input desired boundary lines for some local areas where the original image does not contain enough information for the outlining process. As a result, our algorithm makes it possible to extract more accurate outlines of objects with simple and intuitive manipulations.","PeriodicalId":224112,"journal":{"name":"4th IEEE Southwest Symposium on Image Analysis and Interpretation","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124502888","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: 0

Road sign interpretation using matching pursuit method 用匹配追踪法进行道路标志解读

4th IEEE Southwest Symposium on Image Analysis and Interpretation Pub Date : 2000-04-02 DOI: 10.1109/IAI.2000.839600

Chung-Lin Huang, S. Hsu

引用次数: 11

Illumination-invariant change detection 光照不变变化检测

4th IEEE Southwest Symposium on Image Analysis and Interpretation Pub Date : 2000-04-02 DOI: 10.1109/IAI.2000.839561

D. Toth, T. Aach, V. Metzler

引用次数: 109

Variable block-size double predictor DPCM image data compression 可变块大小双预测器DPCM图像数据压缩

4th IEEE Southwest Symposium on Image Analysis and Interpretation Pub Date : 2000-04-02 DOI: 10.1109/IAI.2000.839586

Jia-Chyi Wu, Hong-Bin Chen, Ren-Jean Liu

引用次数: 0

Natural image retrieval based on features of homogeneous color regions 基于均匀色区域特征的自然图像检索

4th IEEE Southwest Symposium on Image Analysis and Interpretation Pub Date : 2000-04-02 DOI: 10.1109/IAI.2000.839574

Fan Liu, Xuejian Xiong, K. Chan

引用次数: 9

Segmentation by color space transformation prior to lifting and integer wavelet transformation for efficient lossless coding and transmission 采用提升前的彩色空间变换和整数小波变换进行分割，实现高效无损编码和传输

4th IEEE Southwest Symposium on Image Analysis and Interpretation Pub Date : 2000-04-02 DOI: 10.1109/IAI.2000.839587

G. Zamora, Shuyu Yang, Mark P. Wilson, S. Mitra

{"title":"Segmentation by color space transformation prior to lifting and integer wavelet transformation for efficient lossless coding and transmission","authors":"G. Zamora, Shuyu Yang, Mark P. Wilson, S. Mitra","doi":"10.1109/IAI.2000.839587","DOIUrl":"https://doi.org/10.1109/IAI.2000.839587","url":null,"abstract":"Efficient lossless coding and transmission of large color images through bandlimited channels are of growing interest in many applications. Classically lossless coding is performed in the spatial domain by entropy coding of the decorrelated pixels. However, such coding yields only a maximum of 3:1 compression. Recent developments in integer to integer wavelet transform allow multiresolution representation and progressive transmission of images through bandlimited channels starting from the entropy coded lowest resolution image. However, such schemes are able to reduce the bit rate to a limited extent. We present here an efficient automated technique using a simple color space transformation from RGB to HSI that segments and retrieves the color object contour in a fast manner. When such a segmented image is subjected to the integer to integer wavelet transform followed by an adaptive arithmetic coding model, lossless compression up to 20:1 has been achieved for some color images. Due to the substantial decrease in size of the input image to be processed, the execution time of the entire algorithm is reduced drastically. Although the color transformation from RGB to L/sup */a/sup */b/sup */ results in better visual appearance as well as more compressibility, this nonlinear transformation is more computationally intensive. Therefore for progressive transmission a simple color transformation scheme is preferable.","PeriodicalId":224112,"journal":{"name":"4th IEEE Southwest Symposium on Image Analysis and Interpretation","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2000-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115185473","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: 3