Macam-macam Filter Image/Citra pada Matlab

Filter pada dasarnya adalah sebuah metode untuk meredamkan atau menghilangkan noise pada citra digital atau image. Jenis filter bermacam-macam dan fungsi serta efeknya juga berbeda-beda pula. Filter citra dibagi menjadi dua, yaitu filter linear dan filter non-linear. Filter spasial linear adalah filter yang bekerja dengan cara korelasi atau konvolusi. Filter spasial non-linier atau biasanya disebut juga dengan filter statistik berdasar urutan adalah filter yang respon nya didasarkan pada urutan atau rangking piksel yang ada dalam citra yang dicakup oleh area filter dengan menggantikan nilai dari piksel yang berada di tengah digantikan dengan nila hasil pengurutan atau perangkingan tersebut. Filter non-linear memiliki lebih banyak keunggulan dibandingkan dengan filter linear pada ukuran jendela filter yang sama.

Macam-macam filter spasial linear antara lain :

1. Filter Rata-rata

Penghalusan dengan filter rata-rata adalah proses filtering citra f(x,y) dengan filter rata-rata g(x,y) untuk berbagai ukuran filter, dari ukuran 3×3, 5×5, 7×7, 9×9, dan seterusnya.

2. Filter Gaussian

Penghalusan dengan filter gaussian tekniknya sama dengan filter rata-rata, yaitu filtering citra f(x,y) dengan filter gaussian g(x,y) untuk berbagai ukuran filter, dari ukuran 3×3, 5×5, 7×7, 9×9, dan seterusnya.

Macam-macam filter spasial non-linear antara lain :

1. Filter Median

Penghalusan dengan filter median adalah dengan menggantikan nilai tengah dari piksel yang di cakup oleh area filter dengan sebuah nilai tengah (median) setelah diurutkan terlebih dahulu dari yang terkecil ke yang terbesar.

2. Filter Maksimum

Penghalusan dengan filter median adalah menggantikan piksel dengan nilai tertinggi dari suatu deret yang terbentuk dari matriks yang sesuai dengan ukuran dari jendela filter.

3. Filter Minimum

Penghalusan dengan filter median adalah menggantikan piksel dengan nilai terendah dari suatu deret yang terbentuk dari matriks yang sesuai dengan ukuran dari jendela filter.

Artikel-artikel terkait :

1.Teknik Deblurring pada Citra/Image.


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