Image classification is a process that may be affected by many factors. This paper is in regard of the classification techniques used for image processing and analysis using the concept of Fuzzy and Possibilities techniques, applied in each pixel of false-color satellite image By this paper examine classification approaches and the technique used for improving classification accuracy. By the in...

We present a software tool that can help music tutors and students organize and search their musical digital library in an efficient way. Our system is based on fuzzy cmeans clustering and automatically organizes a collection of music files according to musical surface characteristics (e.g., zero crossings, short-time energy, etc.) and tempo. The system is complemented with semantic metadata, w...

E. H. Ibrahim, R. G. Weiss, A. E. Spooner, N. F. Osman Johns Hopkins University, Baltimore, MD, United States INTRODUCTION The combination of myocardial functional and viability images is useful for identifying different tissue types of the heart. This is important for therapeutic decision making in patients with myocardial infarction (MI). Composite strain encoding (C-SENC) MRI imaging provide...

We present an electronic system whose architecture follows a neural fuzzy structure for computing in parallel a Fuzzy CMeans process. The electronic design in this work is oriented to build an analog protoptype employing standard integrated circuits in bipolar technolgy and a floating-gate nMOS transistor array. Estimation of electrical performance of building blocks in this system is done by s...

This paper presents a survey on methods that use digital image processing techniques to detect, quantify and classify plant diseases from digital images in the visible spectrum. Although disease symptoms can manifest in any part of the plant, only methods that explore visible symptoms in leaves and stems were considered. This was done for two main reasons: to limit the length of the paper and b...