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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Advances in Applied Sciences Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Ilmu Komputer dan Informasi Jurnal Ilmiah Informatika Komputer Jurnal Ilmiah Teknologi dan Rekayasa Prosiding KOMMIT IPTEK Journal of Proceedings Series TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Bulletin of Electrical Engineering and Informatics International Journal of Advances in Intelligent Informatics Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah KOMPUTASI InComTech: Jurnal Telekomunikasi dan Komputer Communications in Science and Technology MIND (Multimedia Artificial Intelligent Networking Database) Journal Journal of Applied Data Sciences Proceeding International Conference on Mathematics and Learning Research Prosiding SeNTIK STI&K
Sarifuddin Madenda
Universitas Gunadarma
Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Physics

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Journal : Jurnal Ilmiah Informatika Komputer

 1 
AN OPTIMAL EDGE DETECTOR FOR AUTOMATIC SHAPE EXTRACTION IN CBIR APPLICATIONS Madenda, Sarifuddin
Jurnal Ilmiah Informatika Komputer Vol 11, No 3 (2006)
Publisher : Universitas Gunadarma

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Abstract

Detecting edges in digital images is a trickly operation in image processing since images may contain areas with different degrees of noise, blurring and sharpeness. This operation represents an important step of the whole process of similarity shape analysis and retrieval. There is a variety of edge detectors and each detector has different performances depending on image properties. Several edge detectors are very effective for sharp images but sensitive to noise while some detectors are well adapted to both sharp and noisy images (depending on the filter parameters) but are sensitive to blurring. This article presents two smoothing and detection filters which are well adapted to the detection of blurred or/and noisy edges. Their development is based on a model of blurred contours. These filters can be implemented in a third-order recursive form and offer advantages in the analysis of different edge types (sharp, noisy and blurred). Experimental analysis shows that the results obtained by these filters give a definitely better quality of the edge detection with respect to the existing filters. They also provide a better detection and good edge localization.Keywords : edge detector, automatic shape extraction, CBIR application
A NEW HCL COLOR SPACE WITH ASSOCIATED COLOR SIMILARITY MEASURE FOR COLOR-BASED IMAGE RETRIEVAL Madenda, Sarifuddin
Jurnal Ilmiah Informatika Komputer Vol 11, No 2 (2006)
Publisher : Universitas Gunadarma

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Abstract

Color analysis is frequently used in image/video retrieval. However, many existing color spaces and color distances fail to capture correctly color differences usually perceived by the human eye. The objective of this paper is first to highlight the limitations of existing color spaces and similarity measures in representing human perception of colors, and then to propose (i) a new perceptual color space model called HCL, and (ii) an associated color similarity measure denoted DHCL. Experimental results show that using DHCL on the new color space leads to a solution very close to human perception of colors and hence to a potentially more effective content-based image/video retrieval. Moreover, the application of the similarity measure DHCL to other spaces like HSV leads to a better retrieval effectiveness. A comparison of HCL against L*C*H and CIECAM02 spaces using color histograms and a similarity distance based on Dirichlet distribution illustrates the good performance of HCL for a collection of 3500 images of different kinds.Key words : HCL color space, color analysis
Co-Authors Achmad Fahrurozi Ahmad Hidayat Antonius Angga Kurniawan Aqwam Rosadi Kardian Atit Pertiwi Aviarini Indrati Bertalya Bertalya Cahyaningtyas, Rizqia Catur Suharinto Dewi Agushinta R. Dewi Putrie Lestari Diana Tri Susetianigtias Dina Indarti Djati Kerami Eri Prasetya Wibowo Eri Prasetyo Wibowo, Eri Prasetyo Ernastuti Ernastuti Ety Sutanty Farina Pramanik Fitrianingsih Fitrianingsih Hariyanto Hariyanto Harmanto, Suryadi Hustinawaty Hustinawaty, Hustinawaty Ichsani Mursidah Ire Puspa Wardhani Johan Harlan Johan Harlan Johan Harlan Jufriadif Na`am, Jufriadif Julius Santony Khalida, Rakhmi LATIFAH Linda Wahyu Widianti Lingga Hermanto Lussiana, ETP Metty Mustikasari Muhammad Subali Prayitno, Ragiel Hadi Prihandoko . Rahayu Noveandini Rama Dian Syah Rifki Kosasih Rini Arianty Risnawati Risnawati Robby Candra Rodiah Rodiah Ruddy J Suhatril S Suryadi Setia Wirawan SHABIRA, DIYANK SIAGIAN, AL HAFIZ AKBAR MAULANA Slamet Riyanto Sumijan Sumijan Sunny Arief Sudiro Suryadi Harmanto Suryarini Widodo Susetianingtias, Diana Tri Tavipia Rumambi Tri Susetianingtias, Diana Tubagus Maulana Kusuma Wiryana , I Made