The study aims to investigate the use of panchromatic (PAN) satellite image data for flood hazard assessment with an aid of various digital image processing techniques. Two SPOT PAN satellite images covering part of the Nile River in Egypt were used to delineate the flood extent during the years 1997 and 1998 (before and after a high flood). Three classification techniques, including the contex...

This paper describes some achievements in the detection of tumor in medical images. A computer system has been designed and developed to recognize the typical features of the “glioblastoma multiforme” in the digital images of the brain. The basic concept is that local textures in the images can reveal the typical “regularities” of the biological structures. Thus, textural features have been ext...

Various approaches have been proposed in the literature for texture characterization of images. Some of them are based on statistical properties, others on fractal measures and some more on multi-resolution analysis. Basically, these approaches have been applied on mono-band images. However, most of them have been extended by including the additional information between spectral bands to deal w...

Photocopy documents are very common in our normal life. People are permitted to carry and produce photocopied documents frequently, to avoid damages or losing the original documents. But this provision is misused for temporary benefits by fabricating fake photocopied documents. When a photocopied document is produced, it may be required to check for its originality. An attempt is made in this d...

In this paper, scale invariant texture classification method based on Fuzzy logic is developed. It is applied for the classification of texture images. Two types of texture features are extracted one using Discrete Wavelet Transform (DWT) and other using Gray Level Co-occurrence matrix (GLCM). Two features are obtained from each sub-band of DWT coefficients up to fifth level of decomposition an...

There is a great need of developing efficient content based image retrieval systems because of the availability of large image databases. A new image retrieval system CTDCIRS (color-texture and dominant color based image retrieval system) to retrieve the images using three features called dynamic dominant color (DDC), Motif co-occurrence matrix (MCM) and

Gray level Co occurrence matrix (GLCM) texture analysis has been aggressively researched for decade for multiple applications. Co occurrence matrix retains the spatial and frequency information of the image while compresses the image into a fraction of size enabling the application of classifier engines for analysis. Haralick features are secondary features derived from GLCM. There have been co...

This paper (based on an MS Thesis by Robert Utama in the Electrical and Computer Engineering department at Rutgers University) describes 6 limited-domain Text-to-Speech (TTS) systems that are constrained to the digit string and natural number domains (cardinal numbers only). Each of the 6 unit selection-based concatenative TTS systems were implemented in MATLAB. We evaluate and discuss various ...

Large amounts of CO adsorption resulted from a pulse adsorption experiment at 323 K,giving ~300% Pt dispersion in the title catalyst.An in situ DRIFTS investigation showed that carbonate species on the Ce oxide surface are responsible for the CO adsorption, as a result of CO spillover. Lowering the temperature to 195 K reduced the amount of CO adsorption.The Pt particle size could be determined...

ABSTARCT: In this work, gray-level co-occurrence matrices (GLCM) have been used to quantitatively evaluate statistical textural parameters for a SAR image and to generate a filtered image to feed to ANNs for classification for land cover. Prior to performing the textural analysis, an adaptive filter was applied to reduce the effect of radar-system-generated coherent speckle to produces an image...