Target extraction of banded blurred infrared images by immune dynamical algorithm with two-dimensional minimum distance immune field

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F16%3APU120286" target="_blank" >RIV/00216305:26220/16:PU120286 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.sciencedirect.com.ezproxy.lib.vutbr.cz/science/article/pii/S1350449516301992" target="_blank" >http://www.sciencedirect.com.ezproxy.lib.vutbr.cz/science/article/pii/S1350449516301992</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.infrared.2016.05.017" target="_blank" >10.1016/j.infrared.2016.05.017</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Target extraction of banded blurred infrared images by immune dynamical algorithm with two-dimensional minimum distance immune field

Popis výsledku v původním jazyce

Banded blurred Infrared image segmentation is a challenging topic since banded blurred infrared images are characterized by high noise, low contrast, and weak edges. Based on the interconnected and networked collaborative mechanism between innate immune factors and adaptive immune factors, this paper presents an immune dynamical algorithm with two-dimensional minimum distance immune field to solve this puzzle. Firstly, using the original characteristics as antigen surface molecular patterns, innate immune factors in the first layer of immune dynamical network extract banded blurred regions from the whole banded blurred infrared image region. Secondly, innate immune factors in the second layer of immune dynamical network extract new characteristics to design the complex of major histocompatibility complex (MHC) and antigen peptide. Lastly, adaptive immune factors in the last layer will extract object and background antigens from all the banded blurred image antigens, and design the optimal immune field of every adaptive immune factors. Experimental results on hand trace infrared images verified that the proposed algorithm could efficiently extract targets from images, and produce better extraction accuracy.

Název v anglickém jazyce

Target extraction of banded blurred infrared images by immune dynamical algorithm with two-dimensional minimum distance immune field

Popis výsledku anglicky

Banded blurred Infrared image segmentation is a challenging topic since banded blurred infrared images are characterized by high noise, low contrast, and weak edges. Based on the interconnected and networked collaborative mechanism between innate immune factors and adaptive immune factors, this paper presents an immune dynamical algorithm with two-dimensional minimum distance immune field to solve this puzzle. Firstly, using the original characteristics as antigen surface molecular patterns, innate immune factors in the first layer of immune dynamical network extract banded blurred regions from the whole banded blurred infrared image region. Secondly, innate immune factors in the second layer of immune dynamical network extract new characteristics to design the complex of major histocompatibility complex (MHC) and antigen peptide. Lastly, adaptive immune factors in the last layer will extract object and background antigens from all the banded blurred image antigens, and design the optimal immune field of every adaptive immune factors. Experimental results on hand trace infrared images verified that the proposed algorithm could efficiently extract targets from images, and produce better extraction accuracy.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

INFRARED PHYSICS & TECHNOLOGY

ISSN

1350-4495

e-ISSN

1879-0275

Svazek periodika

77

Číslo periodika v rámci svazku

2016

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

6

Strana od-do

94-99

Kód UT WoS článku

000381532900015

EID výsledku v databázi Scopus

2-s2.0-84969871795