2 research outputs found
A Measure of Directional Convexity Inspired by Binary Tomography
Inspired by binary tomography, we present a measure of
directional convexity of binary images combining various
properties of the configuration of 0s and 1s in the binary
image. The measure can be supported by proper theory, is easy
to compute, and as shown in our experiments, behaves
intuitively. The measure can be useful in numerous
applications of digital image processing and pattern
recognition, and especially in binary tomography. We show in
detail an application of this latter one, by providing a
novel reconstruction algorithm for almost hv-convex binary
images. We also present experimental results and mention
some of the possible generalizations of the measure