Gradyan Anahtarlamalı Gauss Görüntü Filtresi

Year 2018, Volume: 6 Issue: 1, 196 - 215, 31.01.2018

Ali Değirmenci , İlyas Çankaya , Recep Demirci

https://doi.org/10.29130/dubited.345116

Cited By: 5

Abstract

Gürültü
görüntü işleme tekniklerinin başarısını etkileyen en önemli faktörlerden
biridir. Görüntü işleme tekniklerinin başarısını arttırabilmek için gürültünün
azaltılması gerekmektedir. Gürültüyü azaltabilmek için görüntülere filtreleme
işlemi uygulanmaktadır. Sunulan bu çalışmada, görüntülerdeki karışık gürültüyü
giderebilmek için filtre tasarımı yapılmıştır. Görüntüye ilk olarak uyarlamalı
medyan filtresi uygulanmış ve görüntüde tespit edilen tuz ve biber gürültüsünün
giderilmesi amaçlanmıştır. Tuz ve biber gürültüsü bulunmayan piksellere ise
anahtarlamalı Gauss filtresi uygulanmıştır. Tasarlanan anahtarlamalı filtrede
Gauss filtresine ait parametre kullanıcı müdahalesi olmadan otomatik olarak belirlenmiştir.
Parametrenin belirlenmesinde görüntünün gradyan bilgisi ve eşik değer
bilgisinden yararlanılmıştır. Bu amaca yönelik olarak da MATLAB Grafik
Kullanıcı Arayüzü (GKA) tasarlanmıştır. GKA yardımıyla tasarlanan filtrenin
uygulama sonuçları kameraman ve Lena görüntüleri üzerinde sunulmuştur.

Keywords

Gürültü, Gauss filtresi, Uyarlamalı Medyan filtre, Görüntü işleme

Gradient Switched Gaussian Image Filter

Abstract

Noise is one of the most important factor that affects the success of image processing techniques. Reduction of the noise is needed to improve the success of image processing techniques. Filters are applied to the images to reduce the noise. In this study, a filter was designed to reduce the mixed noise on the image. Initially, adaptive median filter was applied to the image and reduction of the detected salt and pepper noise was aimed. Switching Gaussian filter was applied to the pixels which did not have salt and pepper noise. In the designed switching filter, parameter of the Gauss filter is determined automatically without user intervention. The gradient information and the threshold value information were used for determining the parameter. For this purpose, a Graphical User Interface (GUI) was designed with MATLAB. The application results of the designed filter were presented on the Cameraman and Lena images with the help of GUI.

Keywords

Noise, Gaussian filter, Adaptive median filter, Image processing, MATLAB GUI

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