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16
Classcut for unsupervised class segmentation
- In ECCV
, 2010
"... Abstract. We propose a novel method for unsupervised class segmentation on a set of images. It alternates between segmenting object instances and learning a class model. The method is based on a segmentation energy defined over all images at the same time, which can be optimized efficiently by techn ..."
Abstract
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Cited by 37 (10 self)
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of unsupervised segmentation; (c) offers competitive performance compared to the state-of-the-art in unsupervised segmentation and in particular it outperforms the topic model [2]. 1
Unsupervised MRI segmentation with spatial connectivity
"... Magnetic Resonance Imaging (MRI) offers a wealth of information for medical examination. Fast, accurate and reproducible segmentation of MRI is desirable in many applications. We have developed a new unsupervised MRI segmentation method based on k-means and fuzzy c-means (FCM) algorithms, which uses ..."
Abstract
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Cited by 2 (0 self)
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Magnetic Resonance Imaging (MRI) offers a wealth of information for medical examination. Fast, accurate and reproducible segmentation of MRI is desirable in many applications. We have developed a new unsupervised MRI segmentation method based on k-means and fuzzy c-means (FCM) algorithms, which
Whole-Book Recognition using Mutual-Entropy-Driven Model Adaptation
"... We describe an approach to unsupervised high-accuracy recognition of the textual contents of an entire book using fully automatic mutual-entropy-based model adaptation. Given images of all the pages of a book together with approximate models of image formation (e.g. a character-image classifier) and ..."
Abstract
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Cited by 10 (6 self)
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We describe an approach to unsupervised high-accuracy recognition of the textual contents of an entire book using fully automatic mutual-entropy-based model adaptation. Given images of all the pages of a book together with approximate models of image formation (e.g. a character-image classifier
An automatic 2D CAD algorithm for the segmentation of the IMT in ultrasound carotid artery images
- in Proc. 31st Annu. Int. Conf. IEEE Eng. Med. Biol. Soc.: Engineering the Future of Biomedicine, 2009
"... Abstract—Common carotid intima-media thickness (IMT) is a reliable measure of early atherosclerosis- its accurate measurement can be used in the process of evaluating the presence and tracking the progression of disease. The aim of this study is to introduce a novel unsupervised Computer Aided Detec ..."
Abstract
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Cited by 1 (1 self)
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segmentation scheme is based on a spatially continuous vascular model and consists of several steps including data preprocessing, edge filtering, model selection, edge reconstruction and data refinement. To conduct a quantitative evaluation each image was manually segmented by clinical experts and performance
Automatic MR Brain Tumor Detection using Possibilistic C-Means and K-Means Clustering with Color Segmentation
"... Magnetic resonance imaging is often the medical imaging method of choice when soft-tissue delineation is necessary. This paper presents a new approach for automated detection of brain tumor based on k-means and possibilistic c-means clustering with color segmentation, which separates brain tumor fro ..."
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extraction. In the first stage, we have suppressed the noise using image filtering. In the second stage, segmentation is computed using an unsupervised k-means and possibilistic c-means clustering algorithm with color conversion. The segmentation accuracy is obtained using the silhouette method
A Grouping Principle and Four Applications
- IEEE Transactions on Pattern Analysis and Machine Intelligence
, 2003
"... Abstract-Wertheimer's theory suggests a general perception law according to which objects having a quality in common get perceptually grouped. The Helmholtz principle is a quantitative version of this general grouping law. It states that a grouping is perceptually "meaningful" if its ..."
Abstract
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Cited by 59 (6 self)
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of considered strips. The Number of Tests We now have to discuss what the considered strips will be. In [2], we considered the relatively close problem of orientation alignments (straight edges) in a digital image. In that case, we tested all possible segments in the image, that is, about N 2 tests if N denotes
Deformed lattice detection in real-world images using mean-shift belief propagation
- IEEE Transactions on Pattern Analysis and Machine Intelligence
, 2009
"... Abstract—We propose a novel and robust computational framework for automatic detection of deformed 2D wallpaper patterns in real-world images. The theory of 2D crystallographic groups provides a sound and natural correspondence between the underlying lattice of a deformed wallpaper pattern and a deg ..."
Abstract
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Cited by 22 (1 self)
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to demonstrate significant advances in accuracy and speed over the state of the art in automatic discovery of regularity in real images. Index Terms—Belief propagation, MRF, mean shift, lattice detection, wallpaper patterns. Ç
port Vector Machines, Kernel Fisher Discriminant analysis
"... Abstract | This review provides an introduction to Sup- ..."
A Novel Approach for Protein Spots Quantification in Two- Dimensional Gel Images
"... Two-dimensional polyacrylamide gel electrophoresis of proteins is a robust and reproducible technique. It is the most widely used separation tool in proteomics. Current efforts in the field are directed at development of tools for expanding the range of proteins accessible with two-dimensional gels. ..."
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that the computer can analyze the proteins automatically by first detecting then quantifying the protein spots in the 2-D gel images. In our previous work, we presented a new technique for segmentation of 2-D gel images using the fuzzy c-means algorithm using the notion of fuzzy relations. In this paper, we
Approved as to style and content by:
, 2014
"... This Open Access Dissertation is brought to you for free and open access by the Dissertations and Theses at ScholarWorks@UMass Amherst. It has ..."
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This Open Access Dissertation is brought to you for free and open access by the Dissertations and Theses at ScholarWorks@UMass Amherst. It has
Results 1 - 10
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