Giuseppe Di Leo

Towards an automatic diagnosis system for skin lesions: Estimation of blue-whitish veil and regression structures

This paper deals with ELM image processing for automatic analysis of pigmented skin lesions which represents one of the greatest challenges of dermatologic practice today. The “ELM 7 point checklist” defines a set of seven features, based on colour and texture parameters, which describe the malignancy of a lesion. It has been revealed as faster and with the same accuracy than the traditional ABCD criteria in the diagnosis of melanoma. A preliminary approach to the automated diagnosis of melanocytic skin lesions, based on ELM 7 point checklist is proposed. In particular, the image processing algorithms and classification techniques involved in the automatic detection of the occurrence of two criteria (Blue-whitish Veil and Regression structures) are introduced and the experimental results are reported.

Smart metering for demand side management

The paper deals with the topic of demand side management in smart grids. After an introduction on Advanced Metering Infrastructures the paper illustrates an architecture the authors are proposing, focused on the development of smart meters and actuators for demand side management. The first results concerning the implementation of suitable digital signal processing algorithms for the electric energy measurement on a Remote Measurement Unit are finally reported.

White Paper on Industrial Applications of Computer Vision and Pattern Recognition

The paper provides a summary of the contributions to the industrial session at ICIAP2013, describing a few practical applications of Video Analy- sis, in the Surveillance and Security field. The session has been organized to stimulate an open discussion within the scientific community of CVPR on new emerging research areas which deserve particular attention, and may contribute to the improvement of industrial applications in the near future.

Online visual inspection of defects in the assembly of electromechanical parts

An image based measurement system for the online inspection of electromechanical parts is described. The system uses two cameras to perform dimensional measurements and operates online. After the description of the measurement system and of its installation on the production line, the paper details the algorithms for the localization and the measurement of the required quantities, the calibration procedure and the error correction. The results of experimental tests for the performance evaluation in terms of timing and accuracy will be presented.

Automatic Diagnosis of Melanoma Based on the 7-Point Checklist

An image based system implementing a well-known diagnostic method is disclosed for the automatic detection of melanomas as support to clinicians. The software procedure is able to recognize automatically the skin lesion within the digital image, measure morphological and chromatic parameters, carry out a suitable classification for detecting the dermoscopic structures provided by the 7-Point Checklist. Advanced techniques are introduced at different stages of the image processing pipeline, including the border detection, the extraction of low-level features and scoring of high order features.

Pattern Recognition for Defect Detection in Uncontrolled Environment Railway Applications

The rise in prominence of safety and maintenance cost saving related issues in railway systems is becoming more and more an important driver in the design and deployment of sophisticated Wayside Train Monitoring Systems (WTMS). In the last 20 years computer vision based WTMS have evolved from simple Hot Axle Bearing Detectors (HABD) to sophisticated Video Monitoring Systems (VMS).

Illumination design in vision-based measurement systems

In industrial inspection systems adopting machine vision devices and algorithms, a fundamental role is played by the illumination sub-system, since its good design helps in making the software simpler and more robust and reliable. However, the configuration of the illumination parameters is often effected by trial and error and may result into non-optimal solutions, higher costs and worse uncertainty of final measurements. This paper describes an analytical model of the whole system composed of illuminator, surface under measurement and camera, which can be used as a basis to immediately set up the illumination subsystem. Results will be reported showing the achievable improvements, also as a reduction of the measurement uncertainty.

I3DermoscopyApp: Hacking Melanoma thanks to IoT technologies

The paper introduces I3DermoscopyApp, a new declination of the Internet of Things (IoT) paradigm, designed to allow the early detection of melanoma. Even though artificial intelligence programs cannot outperform the diagnostic accuracy of expert dermatologists yet, they reveal to be very useful in providing second opinions to physicians with short clinical experience, thus improving significantly their diagnostic performance. Following this trend, an original integration of mobile app technology and well-known image processing algorithms allows the automatic analysis of pigmented skin lesions to help physicians apply a diagnostic method (Seven Point Check List) based on dermoscopy. The web-based platform makes the physician able to: i) store digital images captured by smartphones featured with a dermatoscope; ii) measure morphological and chromatic parameters of the skin lesion; iii) make a diagnostic decision according to the Seven Point Checklist method. A detailed description of the adopted techniques, together with the first validation results are reported.

Smart meters and demand response: A double challenge

The evolution of energy demand and production can be faced with a Grid that becomes Smart: a network that is capable of integrating heterogeneous players in both generation and demand, allowing each of them to access electricity market and being able to react in real-time and autonomously to changing conditions on the grid. Such paradigm may allow to provide advanced services (i.e. Demand Response) increasing network efficiency and reliability. Necessary requisite for the implementation of a Smart Grid is having a metering architecture that can provide timely and reliable information regarding the state of the grid. The paper addresses the topic of an Advaced Metering Infrastructure (AMI), focusing on the first block, the Smart Meter. A meter prototype for the electric energy measurement, based on ARM architecture, is presented; the technical solutions, both in hardware and software, are described in detail; finally the results of tests carried out for its metrological characterization are reported.

Smart Meters in Smart Cities: An Application of DLMS-COSEM on 169 MHz WM-Bus

Advanced Metering Infrastructures (AMI) are going to represent the backbone of all the Smart City projects where metering and other public services are supposed to be smart. The scenario proposed b ...