Author Archives: Anggi Pramunendar

About Anggi Pramunendar

Was born in Semarang, Indonesia in 1986. I joined in the Faculty of Computer Science in the Dian Nuswantoro University Semarang as a junior lecturer in October 2011 and currently as a Head of Administration international affairs Section on Dian Nuswantoro University. Before in Dian Nuswantoro University, I worked on my MCS. degrees in software engineering from Universiti Teknikal Malaysia Melaka, Melaka, Malaysia, and BIT. degrees in informatic engineering from Dian Nuswantoro University.

Link Public Dataset

Some public dataset is presented in the following link: Computer Vision Datasets – Resource Department of Computer Science – Database1 or Database2 at the University of Texas at Austin Medical Visualisation – Link Databases Yet Another Computer Vision Index To Datasets (YACVID) – Datasets Face Recognition – Datasets UC Irvine Machine Learning – Repository Computer… Read More »

A Novel Approach for Underwater Image Enhancement based on Improved Dark Channel Prior with Colour Correction

A Novel Approach for Underwater Image Enhancement based on Improved Dark Channel Prior with Colour Correction Journal of Engineering Science and Technology (JESTEC) vol. 13, no. 10, 2018. Abstract The quality of underwater images is affected by characteristics of the underwater environment, such as varying light intensity levels and varied wavelengths. Low quality of underwater… Read More »

Link Researcher on Computer Vision

Some researcher focus on Computer Vision and Image Processing presented in the following link: William T. Freeman Massachusetts Institute of Technology – Computer Vision and Image Processing Research Interests Kristen Grauman University of Texas at Austin – Computer Vision Group Onur G. Guleryuz Polytechnic University, Brooklyn, NY – Image Processing Research Interests Berkeley University of California –… Read More »

A classification method of coconut wood quality based on Gray Level Co-occurrence matrices

A classification method of coconut wood quality based on Gray Level Co-occurrence matrices 2013 International Conference on Robotics, Biomimetics, Intelligent Computational Systems Abstract Coconut tree grows rapidly in tropical region such as Indonesia. Coconut wood is used as alternative or complementary raw material for housing or making furniture. Abundant coconut trees are planted, however the… Read More »

Auto Level Color Correction for Underwater Image Matching Optimization

Auto Level Color Correction for Underwater Image Matching Optimization International Journal of Computer Science and Network Security (IJCSNS), Vol.13, No.1, January 2013 Abstract The absorption of the light by seawater and light scattering by small particles of underwater environment has become an obstacle of underwater vision researches with camera. It gives impact to the limitation… Read More »