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Pregled bibliografske jedinice broj: 594149

Zbornik radova

Autori: Aleksi, Ivan; Lehman, Benjamin; Fei, Tai; Kraus, Dieter; Hocenski, Željko
Naslov: A*-Search Image Segmentation Algorithm for Mine-like Objects Segmentation in SONAR Images
Izvornik: ICoURS:International Conference on Underwater Remote SensingBrest, France :
Skup: ICoURS:International Conference on Underwater Remote Sensing
Mjesto i datum: Brest, France, 8-11.10.2012.
Ključne riječi: A*-Search; Image Segmentation; Path Finding
Sažetak:
This paper addresses a SONAR image segmentation method employing a novel A*-Search Image Segmentation (ASSIS) algorithm. ASSIS is applied on Mine-Like Objects (MLO) in SONAR images, where an object is defined by highlight and shadow regions, i.e. regions of high and low pixel intensities in a SONAR image. Usually, the A*-Search is used in mobile robotics for finding the shortest path, where the environment map is predefined and the start/goal locations are known. The ASSIS algorithm represents the image segmentation problem as a path-finding problem. Main modification concerning the original A*-Search is in the cost function that takes pixel intensities in order to navigate the 2D segmentation contour. Firstly, the ASSIS algorithm uses a pixel intensity thresholding technique to build a goal distance map with the numerical navigation function (NNF). The NNF uses the L2 norm to estimate the Euclidean distance between the current pixel and a goal pixel. The estimated distance is then recalculated as predicted cost h to the goal. So far made cost g is calculated according to the current path length. Finally, the sum of g and h defines the cost function f that determines the next contour point around an MLO.
Vrsta sudjelovanja: Poster
Vrsta prezentacije u zborniku: Cjeloviti rad (više od 1500 riječi)
Vrsta recenzije: Međunarodna recenzija
Projekt / tema: 165-0362980-2002, 165-0361621-2000
Izvorni jezik: ENG
Kategorija: Znanstveni
Znanstvena područja:
Računarstvo
URL Internet adrese: http://www.ensta-bretagne.fr/icours12/
Upisao u CROSBI: ialeksi@etfos.hr (ialeksi@etfos.hr), 20. Ruj. 2012. u 21:45 sati



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