Bayesian Texture Classification From Indirect Observations Using Fast Sampling
نویسندگان
چکیده
منابع مشابه
Fast Text Classification Using Sequential Sampling Processes
A central problem in information retrieval is the automated classification of text documents. While many existing methods achieve good levels of performance, they generally require levels of computation that prevent them from making sufficiently fast decisions in some applied setting. Using insights gained from examining the way humans make fast decisions when classifying text documents, two ne...
متن کاملTexture classification by multi-model feature integration using Bayesian networks
In this paper, a texture classification method based on multi-model feature integration by Bayesian networks is proposed. Considering that many image textures exhibit both structural and statistical properties, two feature sets based on two texture models––the Gabor model and the Gaussian Markov random field model are used to describe the image properties in both structure and statistics. A Bay...
متن کاملAutomatic classification of Non-alcoholic fatty liver using texture features from ultrasound images
Background: Accurate and early detection of non-alcoholic fatty liver, which is a major cause of chronic diseases is very important and is vital to prevent the complications associated with this disease. Ultrasound of the liver is the most common and widely performed method of diagnosing fatty liver. However, due to the low quality of ultrasound images, the need for an automatic and intelligent...
متن کاملMaximum Likelihood Texture Classification and Bayesian Texture Segmentation Using Discrete Wavelet Frames
In this work a new approach is presented for the classification and segmentation of texture images, where a different statistical methodology and criterion for texture characterization is proposed. The scheme, in both problems, uses the concept of Discrete Wavelet Frames for the appropriate frequency decompositions, as applied to 2-D signals, and a distance measure based on the evaluation of pa...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Signal Processing
سال: 2016
ISSN: 1053-587X,1941-0476
DOI: 10.1109/tsp.2015.2480040