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» Detecting Faint Curved Edges in Noisy Images
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CVPR
2005
IEEE
14 years 11 months ago
A Two-Stage Level Set Evolution Scheme for Man-Made Objects Detection in Aerial Images
A novel two-stage level set evolution method for detecting man-made objects in aerial images is described. The method is based on a modified Mumford-Shah model and it uses a two-s...
Guo Cao, Xin Yang, Zhihong Mao
ICPR
2002
IEEE
15 years 2 months ago
Image Flows and One-Liner Graphical Image Representation
In this paper we introduce a novel graphical image representation comprising a single curve—the one-liner. The first step involves the detection and linking of image edges. We ...
Vadim Makhervaks, Gill Barequet, Alfred M. Bruckst...
DICTA
2008
14 years 11 months ago
Exploiting Part-Based Models and Edge Boundaries for Object Detection
This paper explores how to exploit shape information to perform object class recognition. We use a sparse partbased model to describe object categories defined by shape. The spars...
Josephine Sullivan, Oscar M. Danielsson, Stefan Ca...
DICTA
2003
14 years 11 months ago
Testing for Curves in a Binary Image
Abstract. Curve detection is viewed as a process of hypothesis generation and hypothesis testing. Of the two, hypothesis generation has received much attention and many sophisticat...
Y. C. Cheng
EUSFLAT
2003
187views Fuzzy Logic» more  EUSFLAT 2003»
14 years 11 months ago
Edge orientation-based fuzzy Hough transform (EOFHT)
The Hough Transform [6] -HT- is a standard tool in image analysis that allows recognizing global patterns in an image space. To detect shapes in noisy data, preserving the idea of...
Eduard Montseny, Pilar Sobrevilla, Pere Marè...