Novel Thermal Image Classification Based on Techniques Derived from Mathematical Morphology: Case of Breast Cancer

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F20%3A50017049" target="_blank" >RIV/62690094:18450/20:50017049 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-3-030-45385-5_61" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-030-45385-5_61</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-45385-5_61" target="_blank" >10.1007/978-3-030-45385-5_61</a>

Result language
angličtina
Original language name
Novel Thermal Image Classification Based on Techniques Derived from Mathematical Morphology: Case of Breast Cancer
Original language description
Image processing (IP) is a method of converting an image to digital form by performing operations on it to obtain an improved image or to extract useful information from it. It is a type of signal distribution in which the input is an image such as a video image or a photograph, and the output can be an image or associated characteristics. Besides, this system includes the processing of images in the form of two-dimensional signals, while applying signal processing methods already defined for them. One of the essential steps in IP is a combined application of erosion and dilation procedures, which is part of the mathematical morphology. This article presents a novel thermal image classification based on techniques derived from mathematical morphology. In the processing of grayscale breast cancer images, this method reveals the region of interest as the whitest area. © Springer Nature Switzerland AG 2020.
Czech name
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Czech description
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Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISBN
978-3-030-45384-8
ISSN
0302-9743
e-ISSN
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Number of pages
12
Pages from-to
683-694
Publisher name
Springer
Place of publication
Cham
Event location
Granada, Spain
Event date
May 6, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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