A New Image Enhancement Based on the Fuzzy C-Means Clustering

• Autorzy: Liu Y. , Liu Y.

Warianty tytułu

PL

Nowy algorytm poprawy obrazu w podczerwieni bazujący na rozmytych klastrach typu C

• Języki publikacji: EN

Abstrakty

EN

The enhancement of the infrared dim small target image is a very important pretreatment in automatic recognition of target and infrared target tracking system. The paper proposed a new image enhancement algorithm based on the Fuzzy C-Means clustering. The algorithm conducted cluster analysis on the pixel and gray of the infrared image and increased the image gray level difference between the various objects so as to achieve the enhanced purpose for infrared small target image. The experimental results showed that this algorithm is able to enhance small target image to the maximum extent with ensuring no loss of the target information.

PL

W artykule zaproponowano nowy algorytm poprawy jakości obrazu otrzymanego w podczerwieni bazujący na klastrach rozmytych typu C. Algorytm analizuje piksle i odcień szarości obrazu i rozszerza poziom różnic szarości. Symulacje potwierdziły przydatność algorytmu dla małych zbiorów.

Słowa kluczowe

EN

infrared image; image enhancement; algorithm; fuzzy c-means clustering

PL

obraz w podczerwieni; jakość obrazu

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2012
• Tom: R. 88, nr 3b
• Strony: 1--4
• Opis fizyczny: Bibliogr. 17 poz., il.

Twórcy

autor

Liu Y.

autor

Liu Y.

• College of Electrical and Information Engineering, Chongqing University of Science and Technology, Chongqing Huxi University Town, Chongqing 401331, China,

Bibliografia

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