Speech is the medium through which human beings can communicate. Segmentation of speech is required for better speech recognition. Segmentation of speech can be done into basic units like words, phonemes or syllables. The two main methods used for segmentation of speech signals are manual segmentation and automatic segmentation. But manual segmentation is not favoured as it is tedious, time con...

We describe a neural network for segmentation of handwritten words. Typical approaches to segmentation rely on “over segmentation” of the word using simple features. Vocabulary context can then be used to recover the correct segmentation points. However in large vocabulary applications it is much more important to have high quality segmentation points in order to reduce the number of alternativ...

We describe the use of weighted linked pyramids for soft region segmentation of colour images. In many digital images definitive region boundaries can not be determined, casting doubt on the reasonableness of a conventional crisp segmentation. We propose that soft segmentation gives a more natural region segmentation of digital images than conventional crisp segmentation. Weighted linked pyrami...

skin cancer has been the most usual and illustrates 50% of all new cancers detected each year. if they detected at an early stage, treatment can become simple and economically. accurate skin lesion segmentation is important in automated early skin cancer detection and diagnosis systems. the aim of this study is to provide an effective approach to detect the skin lesion border on a purposed imag...

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Segmentation is an essential step in the analysis of medical images. For segmentation of 3-D data sets in clinical practice segmentation methods are necessary which have a small user interaction time and which are highly flexible. For this purpose we propose a two-step segmentation approach. The first step results in a coarse segmentation using the Image Foresting Transformation. In the second ...

Image segmentation is the most practical approach among all virtually automated image recognition systems. Feature extraction and recognition have numerous applications on telecommunication, weather forecasting, environment exploration and medical diagnosis. This paper deals with different image segmentation algorithms. The quality of satellite image is affected by atmosphere, temperature etc. ...

BACKGROUND AND PURPOSE Intervertebral disk biochemical composition could be accessed in vivo by T1ρ and T2 relaxometry. We found no studies in the literature comparing different segmentation methods for data extraction using these techniques. Our aim was to compare different manual segmentation methods used to extract T1ρ and T2 relaxation times of intervertebral disks from MR imaging. Seven di...

In this paper, we present some recent improvements in our automatic speech segmentation system, which only needs the speech signal and the phonetic sequence of each sentence of a corpus to be trained. It estimates a GMM by using all the sentences of the training subcorpus, where each Gaussian distribution represents an acoustic class, which probability densities are combined with a set of condi...