Shape diameter for object analysis

Žunić, Anastazia

doi:10.1016/j.ipl.2018.03.012

Cited by 4 publications

(2 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These numerical characteristics, herein called shape measures, are employed in many computer vision, image processing, and pattern recognition tasks [2,4]. Shape measures are often designed to evaluate certain shape properties, like elongation [1,25], convexity [14,16], tortuosity [7], and many more. Some of these measures are generic, and aim to satisfy some specific properties such as rotational [8,23] or affine [12,5] invariance, for example.…”

Section: Introductionmentioning

confidence: 99%

An affine moment invariant for multi-component shapes

Žunić¹,

Stojmenović²

2021

Meas. Sci. Technol.

View full text Add to dashboard Cite

We introduce an image based algorithmic tool for analyzing multi-component shapes. The method allocates a number to a shape, herein called a multi-component shape measure. This number/measure is invariant with respect to affine transformations and is established based on the theoretical framework developed here. In addition, the method is easy to implement and fast to compute. We provide two small but illustrative examples related to the analysis of both aerial and celestial galaxy imagery. We also provide some synthetic examples for a better understanding of the behavior of the measure.

show abstract

Section: Introductionmentioning

confidence: 99%

An affine moment invariant for multi-component shapes

Žunić¹,

Stojmenović²

2021

Meas. Sci. Technol.

View full text Add to dashboard Cite

show abstract

“…[4]), while some of them are recent ones (e.g. [7]). All of these techniques/tools have a wide spectrum of applications, including medicine [6], astronomy [3], or material property analysis [8].…”

Section: Introductionmentioning

confidence: 99%

Measuring how much an object has a ring-like shape

Žunić

2021

Meas. Sci. Technol.

View full text Add to dashboard Cite

An image-based algorithmic tool for measuring how much an object’s shape looks like a ring is presented. The objects whose shapes have such a structure appear in nature very often, e.g. in nanotechnology, biology, medicine, industry, etc. The method proposed has several formal desirable properties, including invariance ones. In addition, the method is easy to implement and is robust (e.g. with respect to noise).

show abstract

Fitting cylinders computation with an application to measuring 3D shapes

Žunić

Corcoran

2023

Comp. Appl. Math.

View full text Add to dashboard Cite

Shape diameter for object analysis

Cited by 4 publications

References 3 publications

An affine moment invariant for multi-component shapes

An affine moment invariant for multi-component shapes

Measuring how much an object has a ring-like shape

Fitting cylinders computation with an application to measuring 3D shapes

Contact Info

Product

Resources

About