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» An in Depth Comparison of Four Texture Segmentation Methods
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82
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CVIU
2008
296views more  CVIU 2008»
14 years 9 months ago
Image segmentation evaluation: A survey of unsupervised methods
Image segmentation is an important processing step in many image, video and computer vision applications. Extensive research has been done in creating many different approaches an...
Hui Zhang, Jason E. Fritts, Sally A. Goldman
78
Voted
NPAR
2006
ACM
15 years 3 months ago
Real-time watercolor illustrations of plants using a blurred depth test
We present techniques to create convincing high-quality watercolor illustrations of plants. Mainly focusing on the real-time rendering, we introduce methods to abstract the visual...
Thomas Luft, Oliver Deussen
CAIP
1995
Springer
189views Image Analysis» more  CAIP 1995»
15 years 1 months ago
Spatial and Feature Space Clustering: Applications in Image Analysis
We propose a novel approach to image segmentation, called feature and spatial domain clustering. The method is devised to group pixel data by taking into account simultaneously bo...
Jiri Matas, Josef Kittler
CVPR
2008
IEEE
15 years 11 months ago
Unsupervised estimation of segmentation quality using nonnegative factorization
We propose an unsupervised method for evaluating image segmentation. Common methods are typically based on evaluating smoothness within segments and contrast between them, and the...
Roman Sandler, Michael Lindenbaum

Publication
400views
14 years 4 months ago
Partitioning Histopathological Images: An Integrated Framework for Supervised Color-Texture Segmentation and Cell Splitting
For quantitative analysis of histopathological images, such as the lymphoma grading systems, quantification of features is usually carried out on single cells before categorizing...
Hui Kong, Metin Gurcan, and Kamel Belkacem-Boussai...