Grayscale image colorization methods: Overview and evaluation

I Žeger, S Grgic, J Vuković, G Šišul - IEEE access, 2021 - ieeexplore.ieee.org
Colorization is a process of converting grayscale images into visually acceptable color
images. The main goal is to convince the viewer of the authenticity of the result. Grayscale …

Applications and challenges of artificial intelligence in space missions

PA Oche, GA Ewa, N Ibekwe - IEEE Access, 2021 - ieeexplore.ieee.org
Artificial Intelligence (AI) is increasingly finding acceptance in the space community,
especially Machine Learning (ML), a subdomain of AI. ML algorithms now find numerous …

TUM-ParticleTyper: A detection and quantification tool for automated analysis of (Microplastic) particles and fibers

E Von Der Esch, AJ Kohles, PM Anger, R Hoppe… - PLoS …, 2020 - journals.plos.org
TUM-ParticleTyper is a novel program for the automated detection, quantification and
morphological characterization of fragments, including particles and fibers, in images from …

Implementation of an open source algorithm for particle recognition and morphological characterisation for microplastic analysis by means of Raman …

PM Anger, L Prechtl, M Elsner, R Niessner… - Analytical …, 2019 - pubs.rsc.org
Microplastic (MP, ie synthetic polymer particles of 1 μm–5 mm) is not only a suspected
environmental contaminant, but also a challenging target for chemical analysis. To analyse …

Segmentation performance evaluation for object-based remotely sensed image analysis

P Corcoran, A Winstanley, P Mooney - International Journal of …, 2010 - Taylor & Francis
The initial step in most object-based classification methodologies is the application of a
segmentation algorithm to define objects. Modelling the human visual process of object …

Performance characterization in computer vision: A guide to best practices

NA Thacker, AF Clark, JL Barron, JR Beveridge… - Computer vision and …, 2008 - Elsevier
It is frequently remarked that designers of computer vision algorithms and systems cannot
reliably predict how algorithms will respond to new problems. A variety of reasons have …

Automated advanced image processing for micromodel flow experiments; an application using labVIEW

M Mahmoodi, LA James, T Johansen - Journal of Petroleum Science and …, 2018 - Elsevier
The study of multi-phase fluid flow in microfluidic devices provides an opportunity for
researchers to observe fluid transport mechanisms and characterize influencing factors …

Performance measures for object detection evaluation

B Özdemir, S Aksoy, S Eckert, M Pesaresi… - Pattern Recognition …, 2010 - Elsevier
We propose a new procedure for quantitative evaluation of object detection algorithms. The
procedure consists of a matching stage for finding correspondences between reference and …

[PDF][PDF] Performance evaluation by image processing techniques in archery–a case study

S Debnath, S Debnath - Int J New Technol Sci Eng, 2016 - researchgate.net
Archers find postural sway, unforced changes and irregular displacement that negatively
correlate to their technical level and hence their performance. Using image processing, the …

Performance benchmark of DSP and FPGA implementations of low-level vision algorithms

D Baumgartner, P Rossler… - 2007 IEEE Conference …, 2007 - ieeexplore.ieee.org
Selecting an embedded hardware platform for image processing has a big influence on the
achievable performance. This paper reports our work on a performance benchmark of …