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Adaptive Binary Arithmetic Coder-Based Image Feature and Segmentation in the Compressed Domain

Hsi-Chin Hsin, Tze-Yun Sung, Yaw-Shih Shieh, Carlo Cattani
2012 Mathematical Problems in Engineering  
It is thus desirable to be able to segment an image in the compressed domain directly such that the burden of decompressing computation can be avoided.  ...  Experimental results show that the MQ coder-based image segmentation is preferable in terms of the boundary displacement error (BDE) measure.  ...  Acknowledgments The authors are grateful to the maintainers of the Berkeley image database. The National Science Council of Taiwan under Grants NSC100-2628-E-239-002-MY2 supported this work.  ... 
doi:10.1155/2012/490840 fatcat:owdprxqyxffzdomqf5ijirmkhm

Image Segmentation Based on New Modification on Normalized-Cut Algorithm

Khalil Alsaif
2010 ˜Al-œRafidain journal for computer sciences and mathematics  
In this paper wavelet transformation, and high-high frequency components which hold the edges of the image will be used to replace classical high frequency filters of the old techniques achieved by the  ...  In this research, Normalized Cut algorithm was studied to segments any type of digital images which was widely used recently.  ...  and segmentation is that in image segmentation, grouping is done in the spatial domain of the image, while clustering is done in measurement space.  ... 
doi:10.33899/csmj.2010.163907 fatcat:woxzffw7h5d53kgnyn36h7dkuq

Boundary Preserved Salient Object Detection Using Guided Filter Based Hybridization Approach of Transformation and Spatial Domain Analysis

Bhagyashree V. Lad, Mohammad Farukh Hashmi, Avinash G. Keskar
2022 IEEE Access  
images in frequency as well as in spatial domain.  ...  The global and local saliency maps are then generated using global and local features extracted by the wavelet transform of the segmented image, as the wavelet transform gives a multiscale analysis of  ...  The wavelet transform-based methods are used in the literature on salient object detection for extracting the image features in frequency domain [21] , [22] .  ... 
doi:10.1109/access.2022.3185409 fatcat:w7ufaautcjfojj4bau62opof5m

A Brief Survey of Color Image Preprocessing and Segmentation Techniques

Siddhartha Bhattacharyya
2011 Journal of Pattern Recognition Research  
This article presents a brief survey of the aforestated trends in color image enhancement and segmentation.  ...  Methods in this direction involve Markov random models, vector directional filters and statistical mixture models like Gaussian and Dirichlet mixtures.  ...  Other methods have been devised for color texture segmentation in the wavelet domain [84, 85] .  ... 
doi:10.13176/11.191 fatcat:iy4md7fp3rc37osn6qpgkuviqm

SPECTRAL CLUSTERING WITH SPATIAL COHERENCE PROPERTY JOINTING TO ACTIVE CONTOUR MODEL FOR IMAGE LOCAL SE GMENTATION

Guang Hu, Shengzhi Yuan
2016 International Journal on Smart Sensing and Intelligent Systems  
Local Segmentation is the fundamental task for image processing.  ...  At last, the local segmentation experiment is realized on synthetic images and medical images.  ...  The classical model is HMM (Hidden Markov Model) based on multi-scale analysis which mainly segments the statistical images in spatial domain and wavelet domain and expands the local segmentation theory  ... 
doi:10.21307/ijssis-2017-937 fatcat:jiz4opvrxzdz3phmgpybhg3l4u

A spectrum adaptive segmentation empirical wavelet transform for noisy and nonstationary signal processing

Bobai Zhao, Qinglong Li, Qian Lv, Xiameng Si
2021 IEEE Access  
In this paper, a novel EWT that can adaptively estimate the number of components in the signal and achieve spectrum segmentation is proposed and is referred to as the spectrum adaptive segmentation empirical  ...  Compared with thresholding methods based on the traditional wavelet transform (WT), empirical wavelet transform (EWT) has been demonstrated to outperform in terms of noise elimination by constructing an  ...  Wavelet transform (WT), including discrete wavelet transform (DWT), continuous wavelet transform (CWT) and wavelet packet transform (WPT), is also one of the most widely used methods for noise removal  ... 
doi:10.1109/access.2021.3099500 fatcat:bbcelcsugnfuvn4pstzr2a2nym

Regional multifocus image fusion using sparse representation

Long Chen, Jinbo Li, C. L. Philip Chen
2013 Optics Express  
On the one hand, using clarity enhanced image that contains both intensity and clarity information, the proposed method decreases the risk of partitioning the in-focus and out-of-focus pixels in the same  ...  Due to the nature of involved optics, the depth of field in imaging systems is usually constricted in the field of view. As a result, we get the image with only parts of the scene in focus.  ...  Related work Normalized cuts and image fusion Normalized cuts (Ncut), an unsupervised segmentation algorithm, is extensively used in the field of image segmentation.  ... 
doi:10.1364/oe.21.005182 pmid:23482052 fatcat:vmmpts2exbfwtle3ewz7se3vi4

A Dorsal Hand Vein Recognition based on Local Gabor Phase Quantization with Whitening Transformation
English

Premalatha K., Anantha T., Natarajan M.
2014 Defence Science Journal  
The phases of six frequency coefficients are quantized and it is used to form a descriptor code for the local region.  ...  The hand vein pattern is a biometric feature in which the actual pattern is the shape of the vein network and its characteristics are the vein features.  ...  Portions of the research in this paper use the NCUT Handdorsa Vein Database collected by North China University of Technology, China.  ... 
doi:10.14429/dsj.64.4659 fatcat:llqbo24kf5a7bfr2rye6y7heu4

A Bayesian Framework for Image Segmentation With Spatially Varying Mixtures

Christophoros Nikou, Aristidis C Likas, Nikolaos P Galatsanos
2010 IEEE Transactions on Image Processing  
The model is also successfully compared to state of the art image segmentation methods in clustering both natural images and images degraded by noise.  ...  Second, it results in closed form parameter updates using a maximum a posteriori (MAP) expectation-maximization (EM) algorithm.  ...  the fields of GSM (FoGSM) were also used in image denoising in the wavelet domain in [32] - [34] .  ... 
doi:10.1109/tip.2010.2047903 pmid:20378472 fatcat:gid2luccnfeghof7ln42j54kee

CLUE: cluster-based retrieval of images by unsupervised learning

Yixin Chen, J.Z. Wang, R. Krovetz
2005 IEEE Transactions on Image Processing  
In a typical content-based image retrieval (CBIR) system, target images (images in the database) are sorted by feature similarities with respect to the query.  ...  The performance of an experimental image retrieval system using CLUE is evaluated on a database of around 60,000 images from COREL.  ...  ACKNOWLEDGMENT The authors would like to thank the anonymous reviewers and the Associate Editor for their comments, which led to improvements of this paper. They would also like to thank J. Li, C. L.  ... 
doi:10.1109/tip.2005.849770 pmid:16121465 fatcat:4r53uy53frfjdb7k6igux7wlbe

Multifocus image fusion using region segmentation and spatial frequency

Shutao Li, Bin Yang
2008 Image and Vision Computing  
The fusion process contains the following steps: firstly, multifocus images are fused using the simple average method. Then the intermediate fused image is segmented using the normalized cut method.  ...  Then the two source images are segmented according to the segmenting result of the intermediate fused image.  ...  This paper is supported by the National Natural Science Foundation of China (No. 60402024) and Program for New Century Excellent Talents in University (NECT-2005).  ... 
doi:10.1016/j.imavis.2007.10.012 fatcat:tm5rgpagy5fqphe4pgvaueufje

Region-Based Image-Fusion Framework for Compressive Imaging

Yang Chen, Zheng Qin
2014 Journal of Applied Mathematics  
Unlike previous works on conventional image fusion, we consider both compression capability on sensor side and intelligent understanding of the image contents in the image fusion.  ...  Experiment results demonstrate that the proposed scheme delivers superior performance over traditional compressive image-fusion schemes in terms of both object metrics and visual quality.  ...  Image segmentation can be treated as a problem of graph partitioning. In this paper, the normalized cut (NCut) [41, 42] method is selected as the image segmentation method.  ... 
doi:10.1155/2014/219540 fatcat:x6hsmlqtabbtnle3loqh2vmxju

A unified active and semi-supervised learning framework for image compression

Xiaofei He, Ming Ji, Hujun Bao
2009 2009 IEEE Conference on Computer Vision and Pattern Recognition  
Typical image compression algorithms first transform the image from its spatial domain representation to frequency domain representation using some transform technique, such as Discrete Cosine Transform  ...  and Discrete Wavelet Transform, and then code the transformed values.  ...  However, NCut itself is a time consuming algorithm. In our work we avoid using any sophisticated segmentation algorithms, but simply segment the image into rectangular regions.  ... 
doi:10.1109/cvprw.2009.5206835 fatcat:swsobf4xurdndes22icfoq5ave

A unified active and semi-supervised learning framework for image compression

Xiaofei He, Ming Ji, Hujun Bao
2009 2009 IEEE Conference on Computer Vision and Pattern Recognition  
Typical image compression algorithms first transform the image from its spatial domain representation to frequency domain representation using some transform technique, such as Discrete Cosine Transform  ...  and Discrete Wavelet Transform, and then code the transformed values.  ...  However, NCut itself is a time consuming algorithm. In our work we avoid using any sophisticated segmentation algorithms, but simply segment the image into rectangular regions.  ... 
doi:10.1109/cvpr.2009.5206835 dblp:conf/cvpr/HeJB09 fatcat:to7kdy4ahjh55mjmvq3ayhuoni

Intelligent Algorithm-Based Gastrointestinal X-Ray Examination in Evaluating the Therapeutic Effect of Probiotics Combined with Triple Therapy on Children with Helicobacter Infection

Qizheng Wang, Jiangshu Li, M. Pallikonda Rajasekaran
2022 Contrast Media & Molecular Imaging  
In this study, gastrointestinal X-ray imaging was processed based on the Ncut algorithm, the gastric signs of the children after probiotics combined with triple therapy were examined, the therapeutic effect  ...  The results were as follows: first, gastrointestinal X-ray imaging before and after treatment showed that the recovery of the gastric body and gastric antral mucosa for children in group B was better than  ...  was applied to segment the target area in the X-ray image. e similarity matrix of the traditional Ncut algorithm can be written as follows: Z uv � e −F u −F v 2 2 /σ 2 l ( ) e −x u −x v 2 2 /σ 2 x ( )  ... 
doi:10.1155/2022/8464361 pmid:35414799 pmcid:PMC8977303 fatcat:xguvhwitirbrpnwhhsjuhpmyru
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