Search Results for author:
Found 12 papers, 3 papers with code
Segmentation and ABCD rule extraction for skin tumors classification
In this work, we present an automated diagnosis system based on the ABCD rule used in clinical diagnosis in order to discriminate benign from malignant skin lesions.
A blind Robust Image Watermarking Approach exploiting the DFT Magnitude
In this paper, we propose a blind robust image watermarking approach as a solution to the problem of copyright protection of digital images.
Movienet: A Movie Multilayer Network Model using Visual and Textual Semantic Cues
Motivated by these limitations, we introduce in this work a multilayer network model to capture the narration of a movie based on its script, its subtitles, and the movie content.
A General Framework for Complex Network-Based Image Segmentation
In order to segment the image into meaningful connected components, this paper proposes an image segmentation general framework using complex networks based community detection algorithms.
Multilayer Network Model of Movie Script
Network models have been increasingly used in the past years to support summarization and analysis of narratives, such as famous TV series, books and news.
Image quality assessment measure based on natural image statistics in the Tetrolet domain
This paper deals with a reduced reference (RR) image quality measure based on natural image statistics modeling.
Color image quality assessment measure using multivariate generalized Gaussian distribution
This paper deals with color image quality assessment in the reduced-reference framework based on natural scenes statistics.
A statistical reduced-reference method for color image quality assessment
Although color is a fundamental feature of human visual perception, it has been largely unexplored in the reduced-reference (RR) image quality assessment (IQA) schemes.
On color image quality assessment using natural image statistics
Color distortion can introduce a significant damage in visual quality perception, however, most of existing reduced-reference quality measures are designed for grayscale images.
Qualitative Comparison of Community Detection Algorithms
Community detection is a very active field in complex networks analysis, consisting in identifying groups of nodes more densely interconnected relatively to the rest of the network.
Comparative Evaluation of Community Detection Algorithms: A Topological Approach
Community detection is one of the most active fields in complex networks analysis, due to its potential value in practical applications.
Social and Information Networks Physics and Society
Evaluation of Performance Measures for Classifiers Comparison
Among the numerous measures proposed over the years, it appears that the classical overall success rate and marginal rates are the more suitable for classifier comparison task.
