D
Dimitris Maroulis
Researcher at National and Kapodistrian University of Athens
Publications - 131
Citations - 2366
Dimitris Maroulis is an academic researcher from National and Kapodistrian University of Athens. The author has contributed to research in topics: Image segmentation & Active contour model. The author has an hindex of 25, co-authored 131 publications receiving 2173 citations. Previous affiliations of Dimitris Maroulis include Athens State University.
Papers
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Book ChapterDOI
Dedicated hardware for real-time computation of second-order statistical features for high resolution images
TL;DR: A novel dedicated hardware system for the extraction of second-order statistical features from high-resolution images based on gray level co-occurrence matrix analysis and are angular second moment, correlation, inverse difference moment and entropy are presented.
Journal ArticleDOI
Adaptable, Fast, Area-Efficient Architecture for Logarithm Approximation with Arbitrary Accuracy on FPGA
TL;DR: The results show that ALA adapts well to all data sets used and requires significantly less FPGA slices than the CORDIC architecture to achieve the same or higher approximation accuracy, and provides a throughput of one result per cycle and up to four times lower latency than theCORDIC core.
Proceedings ArticleDOI
Automatic DNA microarray gridding based on Support Vector Machines
TL;DR: A novel method based on support vector machine (SVM) classifiers to estimate the lines of the DNA microarray grid by maximizing the margin between the lines and the spots, which demonstrates its robustness in the presence of artifacts, noise and weakly expressed spots.
Journal ArticleDOI
A High-Performance Imaging and Control System for a Micromirror-Based Laser-Scanning Endoscope Device
Panagiotis Papageorgas,Dimitris Maroulis,G. Anagnostopoulos,H. Albrecht,B. Wagner,Dimitris K. Iakovidis,N.G. Theofanous +6 more
TL;DR: A presentation of the DACP system is performed with a focus in the software developed, which exploits the multithreading technology, resulting in a high-performance endoscope device.
Improved Defect Detection in Manufacturing Using Novel Multidimensional Wavelet Feature Extraction Involving Vector Quantization and PCA Techniques
TL;DR: In this article, a novel methodology is investigated for discriminating defects by applying a supervised neural classification technique, employing a multilayer perceptron (MLP) trained with the conjugate gradients algorithm, to innovative multidimensional wavelet based feature vectors.