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Natural image statistics for natural image segmentation

Heiler, Schnorr
2003 Proceedings Ninth IEEE International Conference on Computer Vision  
Since each region comprises two model parameters only the approach is computationally efficient and enables the application of variational segmentation to a considerably larger class of real-world images  ...  Incorporated in a sound probabilistic distance measure the model drives level sets toward meaningful segmentations of complex textures and natural scenes.  ...  Acknowledgments The authors would like to thank Eero P. Simoncelli for making his steerable pyramid toolbox publicly available.  ... 
doi:10.1109/iccv.2003.1238635 dblp:conf/iccv/HeilerS03 fatcat:6gbkibf3wbgpjbjhstuf446vyq

Natural Image Statistics for Natural Image Segmentation

Matthias Heiler, Christoph Schn�rr
2005 International Journal of Computer Vision  
Since each region comprises two model parameters only the approach is computationally efficient and enables the application of variational segmentation to a considerably larger class of real-world images  ...  Incorporated in a sound probabilistic distance measure the model drives level sets toward meaningful segmentations of complex textures and natural scenes.  ...  Acknowledgments The authors would like to thank Eero P. Simoncelli for making his steerable pyramid toolbox publicly available.  ... 
doi:10.1007/s11263-005-4944-7 fatcat:loid4pdb7zeyjngbhjp5hbna4e

Fusion of textural statistics using a similarity measure: application to texture recognition and segmentation

I. Karoui, R. Fablet, J.-M. Boucher, W. Pieczynski, J.-M. Augustin
2008 Pattern Analysis and Applications  
Experiments carried out on Brodatz textures and sonar images show that the proposed weighting method improves the classification and the segmentation rates while relying on a parsimonious texture representation  ...  Features computed as statistics (e.g. histograms) of local filter responses have been reported as the most powerful descriptors for texture classification and segmentation.  ...  measure KL w given the selected distributions. applied to further image processing and analysis, for instance, to object recognition and image retrieval.  ... 
doi:10.1007/s10044-008-0108-z fatcat:osalkb3iofgvrl5tielqa3tpiy

Towards Large-Scale Histopathological Image Analysis: Hashing-Based Image Retrieval

Xiaofan Zhang, Wei Liu, Murat Dundar, Sunil Badve, Shaoting Zhang
2015 IEEE Transactions on Medical Imaging  
We build a scalable image-retrieval framework based on the supervised hashing technique and validate its performance on several thousand histopathological images acquired from breast microscopic tissues  ...  For example, the framework can execute around 800 queries in only 0.01 s, comparing favorably with other commonly used dimensionality reduction and feature selection methods.  ...  As shown in Algorithm 1, special relaxation is used for initialization purposes since it is very efficient. Then sigmoid smoothing is used for accurate generation of the hash functions.  ... 
doi:10.1109/tmi.2014.2361481 pmid:25314696 fatcat:frt22wzviraffm7zjex5wgzlau

Fast Fashion Guided Clothing Image Retrieval: Delving Deeper into What Feature Makes Fashion [chapter]

Yuhang He, Long Chen
2017 Lecture Notes in Computer Science  
In this paper, we delve into two fashion related problems: what type of image feature best describes fashion and how can we fast retrieve the fashionably similar images with any given query fashion image  ...  , and feature binarization scheme also achieves comparable results in terms of various fashion clothing image retrieval tasks.  ...  The key challenges arising from this process include a lack of an effective regularizer for accurate mapping and high computation cost.  ... 
doi:10.1007/978-3-319-54193-8_9 fatcat:qybm4ohogjf5jmeopupqzp2d2u

Motion Textures: Modeling, Classification, and Segmentation Using Mixed-State Markov Random Fields

Tomás Crivelli, Bruno Cernuschi-Frias, Patrick Bouthemy, Jian-Feng Yao
2013 SIAM Journal of Imaging Sciences  
Numerous experimental results are reported for those three problems which demonstrate the efficiency and accuracy of the proposed two-frame approach.  ...  First, we present a method for recognition and classification of motion textures, by means of the Kullback-Leibler distance between mixed-state statistical models.  ...  A fundamental consequence arises from our two-frame modeling framework, that is, from its ability to characterize a motion texture for a precise time instant based on an image pair, and its property of  ... 
doi:10.1137/120872048 fatcat:hyuv4jwqxzdgzjsyq4okrpae4y

Robust Classification of Texture Images using Distributional-based Multivariate Analysis [chapter]

Vasileios K., Christos Theoharatos, George Economou, Spiros Fotopoulos
2008 Tools in Artificial Intelligence  
Edge Histogram descriptor The Edge Histogram is a useful texture descriptor that captures the spatial distribution of edges in the image and is defined in MPEG-7 for similarity search and retrieval practices  ...  The original approach is based on an efficient strategy for analyzing texture patterns within a distributional framework and the use of a statistical distributional measure for comparing multivariate data  ...  In the case of texture images, a codebook of k code vectors that summarizes the vectorial representation of the entire spectral information is designed by applying the Neural-Gas algorithm to the data  ... 
doi:10.5772/6077 fatcat:squnzgyjfjfkbmlc7h56f5ezhu

Shape-based Invariant Texture Indexing

Gui-Song Xia, Julie Delon, Yann Gousseau
2009 International Journal of Computer Vision  
The proposed methodology relies on the topographic map of images, obtained from the connected components of level sets.  ...  This morphological tool, providing a multi-scale and contrast-invariant representation of images, is shown to be well suited to texture analysis.  ...  Acknowledgement The authors would like to thank Matthew Mellor, who kindly provided us with his texture analysis codes, Thomas Hurtut, who helped creating the web page [66] , as well as Luo Bin and Henri  ... 
doi:10.1007/s11263-009-0312-3 fatcat:zsujdsfbijcmfns547udlbcw5q

Fractal Descriptors of Texture Images Based on the Triangular Prism Dimension [article]

João B. Florindo, Odemir M. Bruno
2016 arXiv   pre-print
The efficiency of the proposed descriptors is tested on two well-known texture data sets, that is, Brodatz and Vistex, both for classification and image retrieval.  ...  This work presents a novel descriptor for texture images based on fractal geometry and its application to image analysis.  ...  Table 1 compares this measure for different methods on Brodatz textures. The proposed method has the largest computed area confirming its efficiency for image retrieval.  ... 
arXiv:1612.06435v1 fatcat:zihop4tw3faxfjhmlvnbuu6dme

Entropy-Based Variational Scheme with Component Splitting for the Efficient Learning of Gamma Mixtures

Sami Bourouis, Yogesh Pawar, Nizar Bouguila
2021 Sensors  
The performance and merits of the proposed framework are evaluated on multiple, real-challenging applications including dynamic textures clustering, objects categorization and human gesture recognition  ...  In this study, an efficient Gamma mixture model-based approach for proportional vector clustering is proposed.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s22010186 pmid:35009726 pmcid:PMC8749844 fatcat:kxeycfcyhbgm5bbaxqv2emcjlq

Transport-based analysis, modeling, and learning from signal and data distributions [article]

Soheil Kolouri, Serim Park, Matthew Thorpe, Dejan Slepčev, Gustavo K. Rohde
2016 arXiv   pre-print
Given their abilities to provide accurate generative models for signal intensities and other data distributions, they have been used in a variety of applications including content-based retrieval, cancer  ...  Moreover, the geometric characteristics of transport-related metrics have inspired new kinds of algorithms for interpreting the meaning of data distributions.  ...  of the colors and textures of the input texture images.  ... 
arXiv:1609.04767v1 fatcat:vqcyihoh35apjlnvzrz4hazali

Adaptive Speckle Filtering in Radar Imagery [chapter]

Edmond Nezry
2014 Land Applications of Radar Remote Sensing  
It must also account for the radar imaging system that has sensed the target and for Land Applications of Radar Remote Sensing 4 the processor that has generated the images.  ...  Explicit use of second order statistical properties of both the speckle and the imaged scene in the filtering process is adressed in Section 4.  ...  Most of these advantages arise from the use of the covariance matrices of the speckle and of the imaged scene (i.e. from the use of coupled models) in a Bayesian reconstruction of the radar reflectivity  ... 
doi:10.5772/58593 fatcat:cs7ycqehsffsrkbtkylracfs3y

Face Recognition and Retrieval in Video [chapter]

Caifeng Shan
2010 Studies in Computational Intelligence  
Video data provides rich and redundant information, which can be exploited to resolve the inherent ambiguities of image-based recognition like sensitivity to low resolution, pose variations and occlusion  ...  , leading to more accurate and robust recognition.  ...  The dramatic increase of videos demands more efficient and accurate access to video content. Finding a specific person in videos is essential to understand and retrieve videos [91] .  ... 
doi:10.1007/978-3-642-12900-1_9 fatcat:53dy35g7hzaaxocwoymcpad5s4

Generative Temporal Models with Spatial Memory for Partially Observed Environments [article]

Marco Fraccaro, Danilo Jimenez Rezende, Yori Zwols, Alexander Pritzel, S. M. Ali Eslami, Fabio Viola
2018 arXiv   pre-print
Low-dimensional spatial updates are computed using a state-space model that makes use of knowledge on the prior dynamics of the moving agent, and high-dimensional visual observations are modelled with  ...  In model-based reinforcement learning, generative and temporal models of environments can be leveraged to boost agent performance, either by tuning the agent's representations during training or via use  ...  Acknowledgements We would like to thank Charles Blundell and Timothy Lillicrap for many helpful discussions, and Ivo Danihelka and Joshua Abramson for generating the datasets used in the Labyrinth experiments  ... 
arXiv:1804.09401v2 fatcat:uzmaonf7p5et7bihwp3p42fofa

Real-time monocular object SLAM

Dorian Gálvez-López, Marta Salas, Juan D. Tardós, J.M.M. Montiel
2016 Robotics and Autonomous Systems  
We evaluate our proposal on five real environments showing improvements on the accuracy of the map and efficiency with respect to other state-of-the-art techniques.  ...  The two components work together and benefit each other: the SLAM algorithm accumulates information from the observations of the objects, anchors object features to especial map landmarks and sets constrains  ...  Special thanks to Aroa Gálvez for allowing us to use her room and play with her toys.  ... 
doi:10.1016/j.robot.2015.08.009 fatcat:sxtxwwanqracrj5vrbwjwlfqny
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