Length Measurements In Digital Images
By Using An Anchored Discrete Convolution Algorithm
Author(s)
A. Suhadolnik, J. Petrišič & F. Kosel
Abstract
A digital image could be used as a source of data for various dimensional
measurements. After acquiring the digital image of the measured object, the
object contour is determined. The contour is composed of a sequence of distinct
pixels which contain centre points. This is a representation of a digital curve or
digital arc from which the object length or the perimeter could be determined. In
order to calculate the approximate length of the object, we introduce a new
algorithm called an anchored discrete convolution. The algorithm is based on a
discrete convolution by using different convolution masks and points anchored
in the pixels. Unfortunately, the use of an ordinary convolution distorts the curve
shape and introduces large errors in length calculation. In our case the anchoring
limits the point shifting into the pixel area during the calculation of the curve
length. In this paper different convolution masks are used on an experimental
digital curve in order to evaluate the presented algorithm as a measuring tool. In
addition, different real objects were optically scanned and the perimeters of the
objects were determined from the acquired images.
Keywords: anchored discrete convolution, digital image, length measurement.
Keywords
anchored discrete convolution, digital image, length measurement
Related Book
Other papers in this volume
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