Mohammed Refaey

• Cairo University

Introduction Contemporary stethoscope has limitations in diagnosis of chest conditions, necessitating further imaging modalities. Methods We created 2 diagnostic computer aided non-invasive machine-learning models to recognize chest sounds. Model A was interpreter independent based on hidden markov model and mel frequency cepstral coefficient (MFC...

Motivated by the need to deal with critical disorders that involve death of neurons, such as Amyotrophic Lateral Sclerosis (ALS) and brainstem stroke, interpretation of the brain's Motor Imagery (MI) activities is highly needed. Brain signals can be translated into control commands. Electroencephalography (EEG) is considered in this work, EEG is a...

Converting Handwritten documents to its machine written counterpart using Optical Character Recognition has many benefits like easier formatting, less storage apace, and automatic translation if needed. However, it has many noise difficulties; one of them is the ruled lines intersection with the text. In this paper, we introduce a trial to detect t...

Automation becomes the standard in nearly all aspects of life. Some of these aspects are text analysis, translating and retrieval. This requires machine typed format as a preprocessing step. Converting the handwritten text into machine printed counterpart requires Optical Character Recognition (OCR) system, which requires clean text as input. One o...

Converting handwritten documents into its machine written counterpart automatically requires several processes including removing background noise and ruled lines, then Optical Character Recognition. In this paper, we present a fast detection and removal algorithms for ruled lines in colored scanned handwritten documents. The ruled lines detection...

Shot detection is a fundamental step in video processing and analysis that should be achieved with high degree of accuracy. In this paper, we introduce a unified algorithm for shot detection in sports video using fuzzy logic as a powerful inference mechanism. Fuzzy logic overcomes the problems of hard cut thresholds and the need to large training d...

Detection of semantic events in sports videos is an essential step towards video summarization. A large volume of research has been conducted for automatic semantic event detection and summarization of sports videos. In this paper we present a novel sports video summarization framework using a combination of text, video and logic analysis. Parse tr...