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In this paper we use fractal method for detection and diagnosis of abnormalities in mammograms. We have used 168 images that were carefully selected by a radiologist and their abnormalities were also confirmed by biopsy. These images included asymmetric lesions, architectural distortion, normal tissue and mass lesion where in case of mass lesion they included circumscribed benign, ill-defined and...
Near Infrared Spectroscopy is a noninvasive optical method to monitor hemodynamic activity in tissue using light in the range of 600 to 900nm. Various techniques and devices have been developed to utilize this method in a variety of medical fields such as, neuroscience, monitoring of newborn brain, muscle physiology and brain computer interface (BCI). In this paper we present design and implementation...
Ultrasound images are generally affected by multiplicative speckle noise, which is mainly due to the coherent nature of the scattering phenomenon. Speckle noise filtering is thus a critical pre-processing step in medical ultrasound imaging provided that the diagnostic features of interest are not lost. A comparative study of the performance of alternative wavelet based ultrasound image denoising methods...
The purpose of the paper presented here is to deal with the well-known linear generalized predictive control (LGPC) scheme based on multiple models strategy for a tubular heat exchanger system. In this control strategy, the operating environments of the system are first represented by multiple explicit linear models. Then the best model of the system is precisely identified by a novel intelligent...
In this paper a novel approach for ocular artifact (OA) removal is proposed in which a combination of independent component analysis and wavelet-based noise reduction is utilized for detection and removal of OA. At the first stage, independent basis functions attributed to OA are computed using FastICA algorithm. This is followed by designing a wavelet basis function which is tuned to have sufficient...
Retinal images acquired using a fundus camera often contain low grey, low level contrast and are of low dynamic range. This may seriously affect the automatic segmentation stage and subsequent results; hence, it is necessary to carry-out preprocessing to improve image contrast results before segmentation. Here we present a new multi-scale method for retinal image contrast enhancement using Contourlet...
A novel reduced reference (RR) method of channel estimation for image transmission through lossy channels is presented. Estimation is based on the amount of distortion the low frequency content of the image or its histogram suffers during transmission. This distortion is computed by sending the low frequency content of the original image or the corresponding histogram to the receiver by means of a...
Watermark detection can be considered as an estimation problem in which the watermark sequence has to be estimated from a possibly distorted image. In this paper, we use wavelet threshold estimation for extraction of watermark sequence. The correlation matching is then used for checking for the presence of the watermark. It is shown that the performance of this method is superior to that of correlation...
Wavelets are good decorrelators capable of separating signal from noise and have been used in denoising methods recently. Spread spectrum communication systems have been used for both military and commercial applications for many years. These systems have the ability to work in very low SNRs and are robust to intentional jamming. In such systems, noise cancellation can be very effective to improve...
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