Blob indentation identification via curvature measurement

TL;DR

This paper introduces a new curvature-based method for detecting indentations on 2D shape boundaries, utilizing Fourier transform for efficient curvature calculation and a tunable parameter for accurate discrimination.

Contribution

It proposes a novel curvature measurement technique combined with a Fourier transform implementation for efficient and accurate indentation detection on 2D shapes.

Findings

Effective identification of boundary indentations.

Efficient Fourier-based curvature computation.

Parameter tuning improves discrimination accuracy.

Abstract

This paper presents a novel method for identifying indentations on the boundary of solid 2D shape. It uses the signed curvature at a set of points along the boundary to identify indentations and provides one parameter for tuning the selection mechanism for discriminating indentations from other boundary irregularities. An efficient implementation is described based on the Fourier transform for calculating curvature from a sequence of points obtained from the boundary of a binary blob.