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All Journal CAUCHY: Jurnal Matematika Murni dan Aplikasi SMATIKA
Yusron Rijal
Jurusan Matematika Fakultas Sains dan Teknologi Universitas Islam Negeri Maulana Malik Ibrahim Malang
Education Mathematics

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Journal : CAUCHY

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Optimalisasi Reduksi Noise Menggunakan Chain-Code Termodifikasi pada Pendeteksian Wajah Rijal, Yusron
CAUCHY Vol 1, No 2 (2010): CAUCHY
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (803.632 KB) | DOI: 10.18860/ca.v1i2.1707

Abstract

Digital image face detection had been developing so much in this last decade. The searching for the best method is still walking until today. This face detection research is using color model based segmentation method combined with template matching. There are 4 main process in this research. First, motion detection is used to minimize the size of the image by subtracting image n with image n+m. Then, by using YCbCr color model based segmentation, the image is separated by skin color area and non-skin color area. Third, is to reduce the noise by using the blurring way and by filtering its wide. The last one is matching the area that last with template that has been prepared to detect which area is face. The result of the research, from 217 images and 10 videos , shows that this method reach up to 70,5% face detection accuration  procentage.
Filter Halaman Web Pornografi Menggunakan Kecocokan Kata dan Deteksi Warna Kulit Rijal, Yusron; Nofitasari, Awalia
CAUCHY Vol 1, No 4 (2011): CAUCHY
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (482.81 KB) | DOI: 10.18860/ca.v1i4.1795

Abstract

This paper presents an effort to detect pornographic webpages. It was stated that a positive relationship exists between percentage of human skin color in an image and the image itself (Jones et.al., 1998). Based on the statement, rather than using the traditional method of text-filtering, this paper propose a new approach to detect pornographic images by using skin color detection. The skin color detection performed by using RGB, HSI, and YCbCr color model. Using algorithm stated by Ap-apid (Ap-apid, 2005), the system will classify nude and not-nude images. If one or more nude images are found, the system will block the webpage. Keywords: Webpage Filtering, Image Processing, Pornography, Nudity, Skin Color, Nude Images
Co-Authors Abdulloh Abdulloh Awalia Nofitasari, Awalia Yus Amalia, Yus