Infrared image segmentation using growing immune field and clone threshold

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F18%3APU128279" target="_blank" >RIV/00216305:26220/18:PU128279 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.infrared.2017.11.029" target="_blank" >http://dx.doi.org/10.1016/j.infrared.2017.11.029</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.infrared.2017.11.029" target="_blank" >10.1016/j.infrared.2017.11.029</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Infrared image segmentation using growing immune field and clone threshold

Popis výsledku v původním jazyce

Fast and accurate segmentation of infrared target is the basis of automatic target recognition, but there is a problem that it is easy to appear the significant differences of target areas in segmentation. In order to solve this problem, in this paper a new method based on growing immune field and clone threshold for segmentation of infrared targets is introduced. First, according to the global gray information, obtain the best threshold of the image using the clonal selection algorithm for global threshold segmentation. And the seed region is selected based on global threshold segmentation. Second, the source seeds are obtained by comparing the similarity threshold with seed region. Third, the growing immune field is adjusted automatically for region growing through the source seeds. Finally, the segmented image is obtained by immune region growing. The simulation results show that the target information gained by the proposed method is complete and exact. This resultgreatly facilitates the target recognition.

Název v anglickém jazyce

Infrared image segmentation using growing immune field and clone threshold

Popis výsledku anglicky

Fast and accurate segmentation of infrared target is the basis of automatic target recognition, but there is a problem that it is easy to appear the significant differences of target areas in segmentation. In order to solve this problem, in this paper a new method based on growing immune field and clone threshold for segmentation of infrared targets is introduced. First, according to the global gray information, obtain the best threshold of the image using the clonal selection algorithm for global threshold segmentation. And the seed region is selected based on global threshold segmentation. Second, the source seeds are obtained by comparing the similarity threshold with seed region. Third, the growing immune field is adjusted automatically for region growing through the source seeds. Finally, the segmented image is obtained by immune region growing. The simulation results show that the target information gained by the proposed method is complete and exact. This resultgreatly facilitates the target recognition.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

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OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

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

88

Číslo periodika v rámci svazku

2018

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

10

Strana od-do

184-193

Kód UT WoS článku

000423650700025

EID výsledku v databázi Scopus

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