Image segmentation is an essential component of the remote sensing, image inspection, classification and pattern identification. The road satellite image categorization points a momentous tool for the assessment of images. In the present work, the researchers have evaluated the computer vision techniques for instance segmentation and knowledge based techniques for categorization of high-resolut...

In this paper, we develop existence and uniqueness criteria to certain class of three point boundary value problems associated with third order nonlinear fuzzy differential equations, with the help of Green’s functions and contraction mapping principle.

Most processes in industry are characterized by nonlinear and time-varying behavior. Nonlinear system identification is becoming an important tool which can be used to improve control performance and achieve robust fault-tolerant behavior. Among the different nonlinear identification techniques, methods based on neuro-fuzzy models are gradually becoming established not only in the academia but ...

In medical imaging uncertainty is widely present in data, because of the noise in acquisition and of the partial volume effects originating from the low resolution of sensors. In particular, borders between tissues are not exactly defined and memberships in the boundary regions are intrinsically fuzzy. Therefore, computer assisted unsupervised fuzzy clustering methods turn out to be particularl...

The process of human segmentation and labelling of speech can be seen as a two-step process. In the first step humans listen to a speech signal, recognize the word and phoneme sequence, and roughly determine the position of each phonetic boundary. In the second step humans examine several speech signal features (waveform, energy, spectrogram, etc.) to place a phonetic boundary time mark where t...

Several methods of chattering reduction have been reported. One approach [5] places a boundary layer around the switching surface such that the relay control is replaced by a saturation function. Another method [6] replaces a max-min-type control by a unit vector function. These approaches involve a trade-off between chattering and robustness. The aim of this paper is to develop a Fuzzy sliding...

This paper describes a boundary detection of coronary plaque by a hybrid of a modified level set method and a fuzzy inference. The standard level set method to detect an image boundary commonly uses an image gradient for calculating a speed function. But the speed function of the level set cannot work well within an intravascular ultrasound (IVUS) image, which is the target of this paper. There...

Physical sensors have a key role in implementation of real-time vector control for an induction motor (IM) drive. This paper presents a novel boundary layer fuzzy controller (NBLFC) based on the boundary layer approach for speed control of an indirect field-oriented control (IFOC) of an induction motor (IM) drive using physical sensors. The boundary layer approach leads to a trade-off between c...