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Robust Rotation-Invariant Texture Classification Using a Model Based Approach
2004
IEEE Transactions on Image Processing
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Index Terms-Moment invariants, texture analysis, texture classification. ...
In this paper, a model based texture classification procedure is presented. The texture is modeled as the output of a linear system driven by a binary image. ...
The initialization step consists of assuming that the nonlinearity and the inverse filter do not affect the original texture, i.e., they are set equal to the identity operators, , and , being the bidimensional ...
doi:10.1109/tip.2003.822607
pmid:15648869
fatcat:sswxfijrsfgrjmmiyz7daahz7m
Local linear transforms for texture measurements
1986
Signal Processing
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Optimal and sub-optimal linear operators are derived for texture analysis and classification. ...
This approach is closely related to filter bank analysis methods and gives a statistical justification for the extraction of texture properties by means of convolution operators or local matches. ...
Acknowledgment The author is grateful to Profs. Murat Kunt, Frederick De Coulon and Murray Eden for their support and valuable suggestions. ...
doi:10.1016/0165-1684(86)90095-2
fatcat:awg23ucyefeobesc2zrwj3rvra
Structured representations in a content based image retrieval context
2013
Journal of Visual Communication and Image Representation
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Blobs are generated from image features using clustering. Features are locally extracted on regions to capture Color, Texture and Shape information. ...
Regions are processed by an efficient segmentation algorithm. Images are structured into a region adjacency graph to consider spatial relationships between regions. ...
We discretize the color space of the image such that there are n distinct (discretized) colors. ...
doi:10.1016/j.jvcir.2013.08.010
fatcat:txol7eh225fnxcjllxpww3xxby
Automated categorization of multi-class brain abnormalities using decomposition techniques with MRI images: A comparative study
2019
IEEE Access
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The performances of two decomposition techniques, namely, bidimensional empirical mode decomposition and variational mode decomposition (VMD), are compared. ...
Medical imaging and analysis are useful to visualize anatomic structure. However, analysis of the pathologic substrate is difficult and inefficient when using simple imaging tools. ...
Both self-organizing maps (SOM) and the support vector machine (SVM) are applied to obtain an accuracy of 94% and 98%, respectively. ...
doi:10.1109/access.2019.2901055
fatcat:vlct7fxghzha7mitnfsskoqlzu
3D object modeling with a voxelset carving approach
2005
IEEE International Conference on Image Processing 2005
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In order for such systems to be of practical use, the 3D data extraction process is expected to be fast and reliable. ...
To do this work, we consider the depth map as a functions of two variables defined on the preferred image and we apply a sequence of bidimensional filters on it. ...
IEEE Conf. on Computer Vision and Pattern Recognition, 1998. ...
doi:10.1109/icip.2005.1529935
dblp:conf/icip/DaineseMST05
fatcat:bakg2nnrbjahzokkkfeai4ks5e
Fusion of Two-View Information: SVD Based Modeling for Computerized Classification of Breast Lesions on Mammograms
[chapter]
2012
Mammography - Recent Advances
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[n]g J [n − 2 J k] (9) where h j [n] and g J [n] are the analysis discrete filters, related to the approximation and detail coefficients, respectively. ...
wavelets are distinguished from each other by the number of vanishing moments. ...
research, new technologies of image acquisition and its surrounding systems, and case reports with reference to up-to-date multimodality images of breast cancer. ...
doi:10.5772/30600
fatcat:rdkeqbnsxbe25jr7zt3s3h4nmi
A comprehensive review of past and present vision-based techniques for gait recognition
2013
Multimedia tools and applications
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2020 pre-print arXiv:2005.02148v1 fatcat:6tofresl6nfilirnnvrpzyr5vu
In this paper we survey current techniques of gait recognition and modelling with the environment in which the research was conducted. ...
Commonly, people queue up to access a facility and approach a video camera in full frontal view. ...
Then we consider the two main approaches to gait recognition, namely model free and model based ones. ...
doi:10.1007/s11042-013-1574-x
fatcat:sqmycc3xkfghjmq4zhvwrvtjqi
Video representation with three-dimensional entities
1998
IEEE Journal on Selected Areas in Communications
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In this paper, we present the 3DVC framework and describe the methods used to construct incrementally the object models and the pose estimates from unregistered noisy depth and texture measurements. ...
in the scene are rigid and segmented. ...
These artifacts are due to two major factors: aliasing and resampling. Aliasing artifacts are introduced by the discrete nature of the model. ...
doi:10.1109/49.650921
fatcat:3dhlycwjgzafnj5wa7scqdjibe
A Survey on Contemporary Computer-Aided Tumor, Polyp, and Ulcer Detection Methods in Wireless Capsule Endoscopy Imaging
[article]
2019
arXiv
pre-print
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WCE devices are considered as a replacement of conventional endoscopy methods which are usually painful and distressful for the patients. ...
Various anomalies can take place in the GI tract of a human being but the most important and common ones and the aim of this survey are ulcers, polyps, and tumors. ...
The scores of these classifiers are given as observations to a first-order discrete hidden Markov model (HMM). ...
arXiv:1910.00265v1
fatcat:cziq6sauuzaqpgpmca5pmgdwke
Face Image Synthesis and Interpretation Using 3D Illumination-Based AAM Models
[chapter]
2011
New Approaches to Characterization and Recognition of Faces
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Texture and shape, are attributes modeled by AAMs by using statistic tools such as principal components analysis or shortly PCA. ...
We rapidly learn to identify, characterize and eventually distinguish those who are near and dear to us. We accept face recognition later as an everyday ability. ...
doi:10.5772/18765
fatcat:4ozlywfovngdzmchs4gp6md3ty
Video block and FABEMD features for an effective and fast method of reporting near-duplicate and mirroring videos
2021
Journal of Big Data
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In addition, for a generic model, the invariant moments are added to the aforementioned features in order to reinforce them against different video transformations such as rotating and scaling. ...
Fast and adaptive bidimensional empirical mode decomposition is used to preserve the relevant data to the furthest extent possible during the low/high-frequency transition and vice-versa. ...
Proposed model In general, a video is a sequence of frames with specific dimensions. Different methods, such as the Discrete Cosine Transform (DCT) [34] , are used to compress video data. ...
doi:10.1186/s40537-021-00526-7
doaj:6e28c6e9d97a4b0688c8d6a80ef8cc49
fatcat:rxyokajm3fb5zcoku2djhavii4
Survey of Computer Vision and Machine Learning in Gastrointestinal Endoscopy
[article]
2019
arXiv
pre-print
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This paper attempts to provide the reader a place to begin studying the application of computer vision and machine learning to gastrointestinal (GI) endoscopy. ...
In [129] , statistical textural descriptors were computed taken from the Discrete Curvelet transform of the image in multiple directions and scales. ...
In [270] , an approach is presented to segment WCE video. To accomplish this, firstly, colour and wavelet texture features are used to denote UI regions. ...
arXiv:1904.13307v1
fatcat:u66me6hx6bfvfkkalqyodf7tmq
On the role and the importance of features for background modeling and foreground detection
2018
Computer Science Review
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This limitation can be attributed to the lack of systematic investigation concerning the role and importance of features within background modeling and foreground detection. ...
Background modeling methods have become increasing efficient in robustly modeling the background and hence detecting moving objects in any visual scene. ...
and Wren (2015) [437] Wavelet Transform (WT) (28) Discrete Wavelet Transform (DWT) (3) Huang and Hsieh (2003) Haberdar and Shah (2013) [193] Local Ternary Pattern (7 variants ...
doi:10.1016/j.cosrev.2018.01.004
fatcat:s6j5766emrcuhhwgkrvkuyy6hy
Genre cataloging and instrument classification in large databases using music mining approach
2016
International Journal of Latest Trends in Engineering and Technology
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To progress the accuracy in classification to take high incidence coefficients into the processing and by solving the modernization issue with altered wavelet transform to organize the genre with higher ...
For music data, content and different acoustic components can be connected to encourage efficient music management. ...
Then apply discrete cosine transform to de-correlate the Mel-spectral vectors. In this study, utilizing the first five bins, and compute the mean and variance of each over the frames.
B. ...
doi:10.21172/1.72.577
fatcat:puklz62i4vcbrndomvrxhpeuc4
Enhanced Ulcer Recognition from Capsule Endoscopic Images Using Texture Analysis
[chapter]
2012
New Advances in the Basic and Clinical Gastroenterology
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To cope with this matter, traditional pattern recognition methods are applied, utilizing both chromatic and achromatic image domains. ...
To address this issue, we apply BEEMD analysis and each image is decomposed in eight 2D IMFs and residue. ...
Enhanced Ulcer Recognition from Capsule Endoscopic Images Using Texture Analysis, New Advances in the Basic and Clinical Gastroenterology, Prof. ...
doi:10.5772/32940
fatcat:e3wfwrlknjgjdjqte4zry3bp3a
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