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Related Experiment Video

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A New Workflow for Sampling and Digitizing Increment Cores

A New Workflow for Sampling and Digitizing Increment Cores

Published on: September 27, 2024

Uniform resampling of digitized contours.

B Shahraray¹, D J Anderson

¹Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109.

IEEE Transactions on Pattern Analysis and Machine Intelligence

|August 27, 2011

Summary

This study introduces a resampling algorithm to fix uneven spacing in digital curves from quantized contours. The new method significantly improves length measurement accuracy, enhancing shape analysis systems.

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Area of Science:

Computer Vision
Digital Image Processing
Computational Geometry

Background:

Digital curves from quantized continuous contours often have nonuniform intersample distances.
This nonuniformity introduces errors in shape analysis, particularly in length measurement.

Purpose of the Study:

To present a novel resampling algorithm for digital curves with nonuniform intersample distances.
To evaluate the performance of the proposed algorithm in improving accuracy for shape analysis.

Main Methods:

A resampling algorithm utilizing variable-factor interpolation and decimation was developed.
Performance was assessed analytically and through computer simulations using grid-intersect quantization.

Main Results:

The resampling algorithm reduced average length measurement error by 50% and maximum error by 73% compared to original digital curves.
The algorithm demonstrated superior performance in maintaining curve integrity after quantization.

Conclusions:

The proposed resampling algorithm effectively addresses nonuniform intersample distances in digital curves.
This method serves as a valuable preprocessing step for enhancing accuracy and consistency in shape analysis systems, including curvature and Fourier shape descriptor calculations.