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Detecting aircrafts from satellite images using saliency and conical pyramid based template representation

Samik Banerjee, Nitin Gupta, Sukhendu Das, Pinaki Roy Chowdhury, L K Sinha
2016 Sadhana (Bangalore)  
Then, the concept of unsupervised saliency is used to detect the potential regions of interest, which reduces the search space.  ...  Failure of modern feature extraction and object detection methods highlight the complexity of the problem.  ...  This phase consists of three modules: • Saliency map-Saliency maps generated by GBVS and spectral saliency are thresholded and combined, using an intersection operation, to get a tentative saliency map  ... 
doi:10.1007/s12046-016-0540-5 fatcat:kjjvmjakcvepjbfoyaocxvo57q

Change Detection from SAR Images Based on Convolutional Neural Networks Guided by Saliency Enhancement

Liangliang Li, Hongbing Ma, Zhenhong Jia
2021 Remote Sensing  
The saliency analysis step can remove small noise regions by thresholding the saliency map, and interest regions can be preserved.  ...  Then an enhanced difference image is generated by combing the binarized saliency map and two input images.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs13183697 fatcat:5gh3ctbchbbctg4hv4y7c43rku

Visual Attention Detection By Adaptive Non-Local Filter

Dao Nam Anh
2016 IEIE Transactions on Smart Processing and Computing  
The method allows extraction of signified regions with texture of images of wild life.  ...  Since most images involve texture partner in both foreground and background, extraction of signified regions with texture is a challenging task.  ...  ., Morel, J.M for their comprehensive work on non-local mean filter and its applications. Special thanks G. Loy and A. Zelinsky for the paper and codes on interest points.  ... 
doi:10.5573/ieiespc.2016.5.1.49 fatcat:drmvnivwvnejtiafktraulskb4

Automated detection of dilated capillaries on optical coherence tomography angiography

Changlei Dongye, Miao Zhang, Thomas S. Hwang, Jie Wang, Simon S. Gao, Liang Liu, David Huang, David J. Wilson, Yali Jia
2017 Biomedical Optics Express  
In this study, we present an automated algorithm that uses hybrid contrast to distinguish angiograms with dilated capillaries from healthy controls and then applies saliency measurement to map the extent  ...  of the dilated capillary networks.  ...  David Huang also has a financial interest in Carl Zeiss Meditec. These potential conflicts of interest have been reviewed and managed by OHSU.  ... 
doi:10.1364/boe.8.001101 pmid:28271005 pmcid:PMC5330594 fatcat:dqwtglidmvc7zaqcbeweyym6ti

Finding saliency in noisy images

Chelhwon Kim, Peyman Milanfar, Charles A. Bouman, Ilya Pollak, Patrick J. Wolfe
2012 Computational Imaging X  
For comparison's sake, we apply a state of the art denoising approach before attempting to calculate the saliency map, which obviously produces much more stable results for noisy images.  ...  Recently, many computational saliency models have been introduced 2, 5, 7, 13, 23 to transform a given image into a scalar-valued map that represents visual saliency of the input image.  ...  Once we have measured these dissimilarities in the region, the problem of interest is how to aggregate them to obtain an estimate of the underlying saliency of that region.  ... 
doi:10.1117/12.905760 dblp:conf/cimaging/KimM12 fatcat:h2tpjdsky5hubcvfdz525recbe

A Topographic Representation for Mammogram Segmentation [chapter]

Byung-Woo Hong, Michael Brady
2003 Lecture Notes in Computer Science  
This paper presents a novel segmentation method for delineating regions of interest (ROI's) in mammograms.  ...  The "saliency" of the region is measured topologically as the minimum nesting depth.  ...  We introduce a novel segmentation method for mammograms and investigate its application to the detection of regions of interest (ROI's) including the breast boundary, the pectoral muscle (for MLO views  ... 
doi:10.1007/978-3-540-39903-2_89 fatcat:dztqczisn5fzpexgkkvmolf6vm

Physics-based feature mining for large data exploration

D.S. Thompson, R.K. Machiraju, Ming Jiang, J.S. Nair, G. Craclun, S.S.D. Venkata
2002 Computing in science & engineering (Print)  
The compressed bitstream resulting from this offline preprocessing is produced under a fixed priority schedule that permits suitable visualization of the data PHYSICS-BASED FEATURE MINING FOR LARGE DATA  ...  Evita The Evita system consists of three main components: an offline preprocessor, a server, and a client.  ...  We also thank the anonymous reviewers for many useful suggestions.  ... 
doi:10.1109/mcise.2002.1014977 fatcat:m635ify4zfgvdostnwdv6brugy

Robust and Fast 3D Saliency Mapping for Industrial Modeling Applications

Gerasimos Arvanitis, Aris S. Lalos, Konstantinos Moustakas
2020 IEEE Transactions on Industrial Informatics  
Index Terms-3-D mesh saliency mapping, industrial modeling and applications, spectral and geometric analysis for vertex saliency.  ...  In this article, we propose a robust and fast method for creating 3-D saliency maps that accurately identifies sharp and small-scale geometric features in various industrial 3-D models.  ...  In this article, we focus on providing a method for the accurate extraction of a meaningful 3-D saliency mapping ideally suited for industrial 3-D models.  ... 
doi:10.1109/tii.2020.3003455 fatcat:33nztgodnfblrixvheno6vnrfy

An approach for SLAR images denoising based on removing regions with low visual quality for oil spill detection

Beatriz Alacid, Pablo Gil, Lorenzo Bruzzone, Francesca Bovolo
2016 Image and Signal Processing for Remote Sensing XXII  
The results show a successful detection of the ineligible regions and consequently how the image is partitioned in sub-regions of interest in terms of detecting the oil slicks, improving the accuracy and  ...  This paper presents an approach to remove SLAR (Side-Looking Airborne Radar) image regions with low visual quality to be used for an automatic detection of oil slicks on a board system.  ...  ACKNOWLEDGMENT This work was supported by the project (RTC-2014-1863-8) of call for collaboration challenges MINECO.  ... 
doi:10.1117/12.2239257 fatcat:k3ssbsyylfby5mcmzurahvpy6i

Infrared Sensation-Based Salient Targets Enhancement Methods in Low-Visibility Scenes

Hongjun Tan, Dongxiu Ou, Lei Zhang, Guochen Shen, Xinghua Li, Yuqing Ji
2022 Sensors  
Second, our group proposed a salient components enhancement method based on a multi-scale retinex algorithm combined with frequency-tuned salient region extraction (MSRFT).  ...  the high accuracy and adaptability of the proposed methods of great significance for target detection, trajectory tracking, and danger warning of automobile driving.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s22155835 pmid:35957389 pmcid:PMC9370932 fatcat:sjuspqhc5fbxbh7x3pdfbqkeke

Unsupervised content-preserving transformation for optical microscopy

Xinyang Li, Guoxun Zhang, Hui Qiao, Feng Bao, Yue Deng, Jiamin Wu, Yangfan He, Jingping Yun, Xing Lin, Hao Xie, Haoqian Wang, Qionghai Dai
2021 Light: Science & Applications  
Through the introduction of a saliency constraint, the unsupervised model, named Unsupervised content-preserving Transformation for Optical Microscopy (UTOM), can learn the mapping between two image domains  ...  The development of deep learning and open access to a substantial collection of imaging data together provide a potential solution for computational image transformation, which is gradually changing the  ...  Conflict of interest The authors declare no competing interests.  ... 
doi:10.1038/s41377-021-00484-y pmid:33649308 fatcat:fj4ema5bynft7kry3duh6ypzue

Background Prior-Based Salient Object Detection via Deep Reconstruction Residual

Junwei Han, Dingwen Zhang, Xintao Hu, Lei Guo, Jinchang Ren, Feng Wu
2015 IEEE transactions on circuits and systems for video technology (Print)  
This paper proposes a novel framework for saliency detection by first modeling the background and then separating salient objects from the background.  ...  Abstract-Detection of salient objects from images is gaining increasing research interest in recent years as it can substantially facilitate a wide range of content-based multimedia applications.  ...  It thus forces the learning of a far more clever mapping than the identity, e.g. extracting useful features for denoising [25] .  ... 
doi:10.1109/tcsvt.2014.2381471 fatcat:q3ts63marbhwrhu46dqamw4vnu

Multiscale bilateral filtering to detect 3D interest points

Han Guo, Dongmei Niu, Mingxuan Zhang, Xiuyang Zhao, Bo Yang, Caiming Zhang
2019 IET Computer Vision  
and then the interest points are extracted on the basis of the normalised saliency.  ...  For each mesh, on the basis of the computed saliency of the mesh vertex, the bilateral filtering is used to remove the noise of the mesh saliencies and the global contrast to normalise the saliencies,  ...  ZR2019MF013, ZR2019BF026), Project of Jinan Scientific Research Leader's Laboratory (no. 2018GXRC023) for support of this project.  ... 
doi:10.1049/iet-cvi.2018.5405 fatcat:i4gjk6zsyjafhhnavjpt7ghb3y

Fast non parametric entropy estimation for spatial-temporal saliency method [article]

Anh Cat Le Ngo, Guoping Qiu, Geoff Underwood, Kenneth Li-Minn Ang, Jasmine Kah-Phooi Seng
2013 arXiv   pre-print
This paper formulates bottom-up visual saliency as center surround conditional entropy and presents a fast and efficient technique for the computation of such a saliency map.  ...  We have developed a fast and efficient nonparametric method to make the practical implementation of these types of saliency maps possible.  ...  In order to make the comparison fairer between local feature saliency methods and their global counterparts, region of interest mask are applied on local saliency maps.  ... 
arXiv:1301.7661v1 fatcat:b6iydhoz7zaqxcm3ai5eiysmqm

Infrared Ship Target Image Smoothing Based on Adaptive Mean Shift

Zhaoying Liu, Changming Sun, Xiangzhi Bai, Fugen Zhou
2014 2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA)  
By associating the range bandwidth of the mean shift with local region saliency, we can adjust the bandwidth adaptively, thus to smooth the background region while preserving important target structures  ...  Infrared (IR) image denoising is important for IR image analysis.  ...  ACKNOWLEDGMENT This work was performed under the sponsorship of National Natural Science Foundation of China (61271023), Program for New Century Excellent Talents in University (NCET-13-0020), and China  ... 
doi:10.1109/dicta.2014.7008113 dblp:conf/dicta/LiuSBZ14 fatcat:d2bc27bwybhwdda2sun5g3btrq
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