Shape recognition using spectral features
Pattern Recognition Letters
A novel approach to polygonal approximation of digital curves
Journal of Visual Communication and Image Representation
Image registration using robust M-estimators
Pattern Recognition Letters
Technical Section: An efficient technique for capturing 2D objects
Computers and Graphics
Contour simplification using a multi-scale local phase analysis
Image and Vision Computing
Capturing outlines of 2D objects with Bézier cubic approximation
Image and Vision Computing
Dominant point detection: A new proposal
Image and Vision Computing
A new single-pass algorithm for extracting the mid-crack codes of multiple regions
Journal of Visual Communication and Image Representation
An intelligent driver location system for smart parking
Expert Systems with Applications: An International Journal
Hi-index | 0.15 |
This paper examines a set of line-segment approximation codes for the representation of planar curves (the so-called generalized chain codes) and shows that the average quantization error (measure of code's precision) is directly proportional to the grid size and is independent of the form of the code. Thus, to achieve a desired level of precision for the representation of a line drawing, only the size of the grid need be determined; the form of the code can be chosen on the basis of other criteria, such as compactness, smoothness, or relative ease of encoding and processing.