Perancangan Aplikasi Berbasis GUI dalam Pengelolahan Citra Gambar Kulit Buah Kelapa Sawit Dengan Metode Konvolusi
Keywords:
image, images processing, Convolution, MatlabAbstract
Image convolution is a technique for smoothing an image or clarifying an image by replacing pixel values with a number of pixel values that match or are adjacent to the original pixels. This study discusses the design of a program for processing images using the Convolution method, which consists of the Gaussian blur, prewitt, image sharpening (sharpen) and sobel algorithms. But with the convolution, the size of an image that has been processed with the Convolution method remains the same, the size of the image does not change. The application designed to apply the convolution method uses Matlab R2009b software, where each image will be processed convolutionally with a choice of Gaussian blur, prewitt, image sharpening (sharpen), and sobel algorithms. Then the previous image size will be compared with the results of the image that has been processed with the Convolution method, so that it is expected that even though there is a pixel conversion that occurs, the image size will be the same, and image changes only occur in the color display of the image.
References
[1] Wang, Yao. 2012. Image Filtering: Noise Removal, Sharpening, Deblurring. EE3414: Image Filtering.
Polytechnic University, Brooklyn.
[2] Gazali, Wikaria, Soeparno, Haryono & Ohliati Jenny. 2012. Penerapan Metode Konvolusi Dalam Pengolahan Citra Digital. Jurnal Mat12:2. Binus University.
[3]M. Mahaputra Hidayat. Restorasi Bar Codes 2-D Pada Citra Hasil Kamera Menggunakan Metode Wavelet. Prosiding SNATIF Ke-1 Tahun 2014.
[4] Heryana , Nono & Rini Mayasari. 2016. Implementasi Noise Removal Menggunakan Wiener Filter untuk Perbaikan Citra Digital. UNSIKA Syntax Jurnal Informatika5:2, 159-164.
[5] Ardhianto, Eka, Wiwien Hadikurniawati & Zuli Budiarso. 2013. Implementasi Metode Image Subtracting dan Metode Regionprops untuk Mendeteksi Jumlah Objek Berwarna RGB pada File Video. Jurnal Teknologi Informasi DINAMIK18:2, 91-100.
[6] Raden Mas Alexander Elldo Septian. 2013. Proses Penajaman Dan Reduksi Noise Pada Sebuah Citra Digital Dalam Bidang Fotografi. Program Studi Teknik Informasi-S1 Universitas Dian Nuswantoro.
[7] McAndrew,2012.Alasdair. An Introduction to Digital Image Processing with Matlab. Notes for SCM2511 Image. School of Computer Science and Mathematics Victoria University of Technology.
[8] Zhou, Huiyu, Wu, Jiahua & Zhang Jianguo. 2010. Digital Image Processing Part I. Ventus Publishing ApS. [9]Munir, rinaldi. 2013. Pengolahan Citra Digital dengan Pendekatan Algoritmik. Bandung : Informatika. [10]Putra, darma. 2013. Pengolahan Citra Digital. Yogyakarta : ANDI Publisher.
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