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A Performance Evaluation of Shape Based Image Retrieval Using Heuristic Function

Parmalik Kumar, Pushpa Tandekar, Dhirendra Kumar Jha
2013 INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY  
In this paper descried the review of content based image retrieval based on shape based feature and optimization technique such as ANT colony optimization, genetic algorithm and neural network.  ...  Heuristic function plays an important role in content based image retrieval. The heuristic function used for feature selection and feature optimization for retrieval process.  ...  Image Retrieval Using Canny Edge Detection and K-Means Clustering Algorithms for numerous Medical Images, has been developed to choose the medical images from huge volume of medical image databases.  ... 
doi:10.24297/ijct.v12i2.3286 fatcat:3ae24udrlvbznbfsxlrethjxhm

Content-Based Image Retrieval in Radiology: Current Status and Future Directions

Ceyhun Burak Akgül, Daniel L. Rubin, Sandy Napel, Christopher F. Beaulieu, Hayit Greenspan, Burak Acar
2010 Journal of digital imaging  
Diagnostic radiology requires accurate interpretation of complex signals in medical images.  ...  Radiology images also provide rich opportunities for CBIR: rich metadata about image semantics are provided by radiologists, and this information is not yet being used to its fullest advantage in CBIR  ...  In cases when the image contains object(s) that can be clearly separated from the background or surroundings, these geometric cues can be used to extract powerful complete shape descriptors.  ... 
doi:10.1007/s10278-010-9290-9 pmid:20376525 pmcid:PMC3056970 fatcat:54efjsvb2vdxhecunbmv7pazei

Predicting Neuropsychological Development from Skull Imaging

H. J. Lin, S. Ruiz-Correa, L. G. Shapiro, M. L. Speltz, M. L. Cunningham, R. W. Sze
2006 2006 International Conference of the IEEE Engineering in Medicine and Biology Society  
Although studies have shown an increase in risk for cognitive deficits in patients with isolated craniosynostosis, the causal basis for this association is still unclear.  ...  In this paper, we conduct a comparative analysis of our newly developed shape descriptors in an attempt to understand the impact of skull deformations on neurobehavior.  ...  The testing algorithm for numeric descriptors is straightforward. The algorithm for the symbolic descriptors is as follows. Testing.  ... 
doi:10.1109/iembs.2006.260321 pmid:17945777 fatcat:hfdeqjkhabebfc2v2tduti7fgi

An In-depth Analysis of Applications of Object Recognition

Abijith Sankar, Akash Suresh, P. Varun Babu, A. Baskar, Shriram K. Vasudevan
2015 Research Journal of Applied Sciences Engineering and Technology  
Image processing has become one of the most unavoidable fields of engineering. The way the applications are designed based on Image processing is simply superb.  ...  This study is drafted as a study paper aimed at reviewing the object recognition techniques supported in Image Processing Sector.  ...  Local descriptors include color, shape and texture of images. Occlusions and global geometric distortions are over come as local descriptors are used.  ... 
doi:10.19026/rjaset.10.2547 fatcat:mbjmusdovvhbxdbvgmbdna3qzu

A survey of shape analysis techniques

Sven Loncaric
1998 Pattern Recognition  
Shape analysis methods play an important role in systems for object recognition, matching, registration, and analysis.  ...  Research in shape analysis has been motivated, in part, by studies of human visual form perception systems.  ...  It is used in modelbased object recognition where a set of known model objects is compared to an unknown object detected in the image.  ... 
doi:10.1016/s0031-2023(97)00122-2 fatcat:sqhp57ubrbglrieygkktifof5e

Multi-Objective Software Suite of Two-Dimensional Shape Descriptors for Object-Based Image Analysis [article]

Andrea Baraldi, João V. B. Soares
2017 arXiv   pre-print
& Davis in their seminal works on the increasingly popular geographic object based image analysis (GEOBIA) paradigm.  ...  Alternative to existing commercial or open source software libraries of tens of planar shape functions whose informativeness remains unknown, it is eligible for use in (GE)OBIA systems in operating mode  ...  The authors also wish to thank the Editor-in-Chief, Associate Editor and reviewers for their competence, patience and willingness to help.  ... 
arXiv:1701.01941v2 fatcat:agjwzzb2h5gdvlh3wicmp7sqeq

A morphological signature transform for shape description

Sven Loncaric, Atam P. Dhawan
1993 Pattern Recognition  
For a given class of shapes the optimal structuring element for MST method is selected by means of a genetic algorithm. The optimization criteria is formulated to enable a robust shape matching.  ...  The obtained set of numbers is arranged into vectors, ordered, and used as a shape descriptor.  ...  The optimal structuring element w as determined by means of genetic algorithm and used for shape description using the MST-based algorithm.  ... 
doi:10.1016/0031-3203(93)90004-g fatcat:tiuxvhtugvc4no6xbsr6ctmkju

A Review on Feature Extraction and Feature Selection for Handwritten Character Recognition

Muhammad 'Arif, Haswadi Hassan, Dewi Nasien, Habibollah Haron
2015 International Journal of Advanced Computer Science and Applications  
Throughout this paper also, the review of metaheuristic harmony search algorithm (HSA) has provide.  ...  It is generally agreed that one of the main factors influencing performance in HCR is the selection of an appropriate set of features for representing input samples.  ...  An Improved Harmony Search algorithm for optimal scheduling of the diesel generators in oil rig platforms Application of Harmony Search to Multi-Objective Optimization for Satellite Heat Pipe Design M.  ... 
doi:10.14569/ijacsa.2015.060230 fatcat:kaevu3rdnvehll5de7phax4u7e

An analysis of content-based image retrieval

Hakan KOYUNCU, Manish DİXİT, Baki KOYUNCU
2021 International Advanced Researches and Engineering Journal  
Thus, the Content-Based Image Retrieval (CBIR) method has become the most valuable method for these databases.  ...  This study mainly focuses on content-based image retrieval; which uses image features like color, shape, texture, etc. by searching the user query image from a large image database based on user request  ...  Blum's skeletons Fourier descriptor Fourier descriptor describes the shape feature of an object in an image, in which it uses Fourier transform for boundaries and considers the shape (contour) of a twodimensional  ... 
doi:10.35860/iarej.811927 fatcat:jkljdjgipjeltfzd4rqu46fyri

Predicting Neuropsychological Development from Skull Imaging

H. J. Lin, S. Ruiz-Correa, L. G. Shapiro, M. L. Speltz, M. L. Cunningham, R. W. Sze
2006 IEEE Engineering in Medicine and Biology Society. Conference Proceedings  
Although studies have shown an increase in risk for cognitive deficits in patients with isolated craniosynostosis, the causal basis for this association is still unclear.  ...  In this paper, we conduct a comparative analysis of our newly developed shape descriptors in an attempt to understand the impact of skull deformations on neurobehavior.  ...  Speltz), and the Department of Radiology at National Medical Center in Washington DC.  ... 
doi:10.1109/iembs.2006.4398189 fatcat:5yqe4j4yz5btlhqi6nuwrxtjf4

Predicting Neuroinflammation in Morphine Tolerance for Tolerance Therapy from Immunostaining Images of Rat Spinal Cord

Shinn-Long Lin, Fang-Lin Chang, Shinn-Ying Ho, Phasit Charoenkwan, Kuan-Wei Wang, Hui-Ling Huang, Yong-hui Dang
2015 PLoS ONE  
Next, an inheritable bi-objective genetic algorithm is used to identify a minimal set of features by maximizing the prediction accuracy of neuroinflammation.  ...  immunostaining images for astrocytes, microglia, and neurons in the spinal cord.  ...  In the Jackknife test, each image is used in rotation as an independent test while the other 29 images were used as a training set to design SVM-based predictors.  ... 
doi:10.1371/journal.pone.0139806 pmid:26437460 pmcid:PMC4593634 fatcat:ap2lrdg3tfactieoefsilq32fu

Similarity-Based Retrieval for Biomedical Applications [chapter]

L. G. Shapiro, I. Atmosukarto, H. Cho, H. J. Lin, S. Ruiz-Correa, J. Yuen
2008 Studies in Computational Intelligence  
It has been used in case-based reasoning systems for both image segmentation and image interpretation.  ...  In order to design an image-based clinical decision support system for surgeons and craniofacial experts, it is critical to first develop shape descriptors that will enable objective and reproducible detection  ... 
doi:10.1007/978-3-540-73180-1_12 fatcat:lkxhljfasbdktjeervsawxgzyu

Image Matching from Handcrafted to Deep Features: A Survey

Jiayi Ma, Xingyu Jiang, Aoxiang Fan, Junjun Jiang, Junchi Yan
2020 International Journal of Computer Vision  
Secondly, we briefly introduce several typical image matching-based applications for a comprehensive understanding of the significance of image matching.  ...  This encourages us to conduct a comprehensive and systematic review and analysis for those classical and latest techniques.  ...  For example, a probabilistic interpretation or a density-based objective can be used, and the constraints for P may be only partially imposed during optimization, which all differ from the above formulation  ... 
doi:10.1007/s11263-020-01359-2 fatcat:a2epfaolwjfm5mcrsmn7g6sd7m

Color in Image and Video Processing: Most Recent Trends and Future Research Directions

Alain Trémeau, Shoji Tominaga, Konstantinos N. Plataniotis
2008 EURASIP Journal on Image and Video Processing  
It focuses on human color vision, perception, and interpretation. It focuses also on acquisition systems, consumer imaging applications, and medical imaging applications.  ...  It focuses also on color features, color-based object tracking, scene illuminant estimation and color constancy, quality assessment and fidelity assessment, color characterization and calibration of a  ...  Image-based models as well as learning-based approaches are techniques that have been widely used in the area of object recognition and scene classification.  ... 
doi:10.1155/2008/581371 fatcat:c5jejffxbvaftib2yvw2ad27ei

Predict Alzheimer's disease using hippocampus MRI data: a lightweight 3D deep convolutional network model with visual and global shape representations

Sreevani Katabathula, Qinyong Wang, Rong Xu
2021 Alzheimer's Research & Therapy  
We have recently developed DenseCNN, a lightweight 3D deep convolutional network model, for AD classification based on hippocampus magnetic resonance imaging (MRI) segments.  ...  In this study, we propose DenseCNN2, a deep convolutional network model for AD classification by incorporating global shape representations along with hippocampus segmentations.  ...  Acknowledgements We thank the Alzheimer's Disease Neuroimaging Initiative (ADNI) for generously sharing clinical, imaging, genetic, and biochemical biomarkers for the early detection and tracking of Alzheimer's  ... 
doi:10.1186/s13195-021-00837-0 pmid:34030743 fatcat:ujjf6osodzcnbnq3btnsp7z6am
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