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In this paper, we propose a method for detection of small moving objects in video. We first eliminate the camera motion using motion compensation. We then use an adaptive predictor to estimate the current pix-el using neighboring pixels in the motion compensated image and, in this way, obtain a residual error image. Small moving objects appear as outliers(More)
The human auditory system is insensitive to phase information of the speech signal. By taking advantage of this fact data such as the transcript, some keywords, and copyright information can be embedded into the speech signal by altering the phase in a predeened manner. In this paper, an all-pass ltering based data embedding scheme is developed for speech(More)
Different bands of remotely sensed images contain unique information due to the different reflection properties of the surfaces for these modalities. These images might be acquired from various cameras having different parameters and images from different bands need to be registered to facilitate combining of distinct information contained in each band. For(More)
In this paper, computer-aided diagnosis of microcalcification clusters in mammogram images is considered. Microcalcification clusters which are an early sign of breast cancer appear as isolated bright spots in mammogram images. Therefore they correspond to local maxima of the mammogram image. In our method we first detect the local maxima of the image, and(More)
BACKGROUND Subtraction of ictal and interictal single photon emission computed tomography (SPECT) images is known to be successful in localizing the seizure focus in the pre-surgical evaluation of patients with partial epilepsy. A computer-aided methods for producing subtraction ictal SPECT co-registered to the magnetic resonance image (MRI) (the SISCOM(More)
A new method for detecting microcalcifications in mammograms is described. In this method, the mammogram image is first processed by a subband decomposition filterbank. The bandpass subimage is divided into overlapping square regions in which skewness and kurtosis as measures of the asymmetry and impulsiveness of the distribution are estimated. The(More)
In this paper, computer-aided detection and enhancement of microcalcications in mammogram images are considered. The mammogram image is rst decomposed into subimages using a 'subband' decomposition lter bank which uses nonlinear lters. A suitably identied subimage is divided into overlapping square regions in which s k ewness and kurtosis as measures of the(More)