Autor:

Tabor, Zbisław

Współtwórca:

Korbicz, Józef (1951- ) - red. ; Uciński, Dariusz - red.

Tytuł:

Surrogate data: a novel approach to object detection

Tytuł publikacji grupowej:

AMCS, Volume 20 (2010)

Temat i słowa kluczowe:

surrogate data ; optimal paths ; fuzzy connectedness

Abstract:

In the present study a novel method is introduced to detect meaningful regions of a gray-level noisy images of binary structures. The method consists in generating surrogate data for an analyzed image. A surrogate image has the same (or almost the same) power spectrum and histogram of gray-level values as the original one but is random otherwise. ; Then minmax paths are generated in the original image, each characterized by its length, minmax intensity and the intensity of the starting point. If the probability of the existence of a path with the same characteristics but within surrogate images is lower than some user-specified threshold, it is concluded that the path in the original image passes through a meaningful object. The performance of the method is tested on images corrupted by noise with varying intensity.

Wydawca:

Zielona Góra: Uniwersytet Zielonogórski

Data wydania:

2010

Typ zasobu:

artykuł

DOI:

10.2478/v10006-010-0040-4

Strony:

545-553

Źródło:

AMCS, Volume 20, Number 3 (2010) ; kliknij tutaj, żeby przejść

Jezyk:

eng

Licencja CC BY 4.0:

kliknij tutaj, żeby przejść

Prawa do dysponowania publikacją:

Biblioteka Uniwersytetu Zielonogórskiego