Segmentation and Classification of Edges Using Minimum Description Length Approximation and Complementary Junction Cues
نویسندگان
چکیده
منابع مشابه
Segmentation and Classification of Edges Using Minimum Description Length Approximation and Complementary Junction Cues
This article presents a method for segmenting and classifying edges using minimum description length (MDL) approximation with automatically generated break points. A scheme is proposed where junction candidates are rst detected in a multi-scale pre-processing step, which generates junction candidates with associated regions of interest. These junction features are matched to edges based on spat...
متن کاملSegmentation and Classiication of Edges Using Minimum Description Length Approximation and Complementary Junction Cues
This article presents a method for segmenting and classifying edges using minimum description length (MDL) approximation with automatically generated break points. A scheme is proposed where junction candidates are rst detected in a multi-scale pre-processing step, which generates junction candidates with associated regions of interest. These junction features are matched to edges based on spat...
متن کاملSegmentation and Classi cation of Edges Using Minimum Description Length Approximation and Complementary Junction Cues
This article presents a method for segmenting and classifying edges using minimum description length (MDL) approximation with automatically generated break points. A scheme is proposed where junction candidates are rst detected in a multi-scale preprocessing step, which generates junction candidates with associated regions of interest. These junction features are matched to edges based on spati...
متن کاملKona: A Multi-junction Detector Using Minimum Description Length Principle
Corners, T-, Y-, X-junctions give vital depth cues which is a critical aspect of image \understanding": junctions form an important class of features invaluable in most vision systems. The three main issues in a junction (or any feature) detector are: scale, location, and, the junction (feature) parameters. The junction parameters are (1) the radius, or size, of the junction, (2) the kind of ju...
متن کاملEfficient Unsupervised Recursive Word Segmentation Using Minimum Description Length
Automatic word segmentation is a basic requirement for unsupervised learning in morphological analysis. In this paper, we formulate a novel recursive method for minimum description length (MDL) word segmentation, whose basic operation is resegmenting the corpus on a prefix (equivalently, a suffix). We derive a local expression for the change in description length under resegmentation, i.e., one...
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: Computer Vision and Image Understanding
سال: 1997
ISSN: 1077-3142
DOI: 10.1006/cviu.1996.0510