The high pace rise in vehicle counts, traffic density, and security concerns, a potential system for traffic surveillance, vehicle monitoring and control has become an inevitable need to facilitate intelligent transportation system (ITS). Although, numerous approaches have been proposed for moving vehicle detection and tracking, still the optimization needs can’t be ignored. In this paper, a ro...

In urban areas, the presence of shadow in high resolution satellite images is caused a serious problem for the full exploitation of images. To solve the shadow problem in high resolution satellite images, this paper propose a new shadow detection and reconstruction algorithm. Mainly three stages are using in this paper shadow detection stage, training stage and shadow reconstruction stage. The ...

Automatic restoration of old film archives has become of increasing interest in the last few years with the rise of consumer digital video applications and the need to supply more programming material of an acceptable quality in a multimedia context. A technique is described for the optimization of multidimensional grayscale soft morphological filters for applications in automatic film archive ...

Morphological waveform identification methods have been demonstrated to be effective for distinction of normal and abnormal conduction in intraventricular electrograms in small pilot tests. Yet these methods will find acceptance in future implantable devices only when computational demands and memory requirements are further reduced. A restricted passband allows reduced sampling rate and dimini...

ECG signal processing in an embedded platform is a challenge which has to deal with several issues. One of the commonest problems in ECG signal processing is baseline wander removal and noise suppression, which determine posterior signal process. In this report, two filtering techniques are presented and implemented to work on a Shimmer platform. Baseline wander removal based on cubic splines a...

An efficient subband image decomposition method by mathematical morphology has been proposed recently. This method decomposes the input signal spectrum into 4 subbands by using two separable structuring elements. Based on this method, a hierarchical image representation referred to as subband pyramid is described. This subband pyramid scheme preserves the number of pixels as in the original ima...

In present time, in medical line there are many techniques have been researched for detect the TUMOR from human brain (medical image). Many techniques are available, Brain cancer detection in magnetic resonance images (MRI) is important in medical diagnosis because it provides information associated to anatomical structures as well as potential abnormal tissues necessary to treatment planning a...

A semi-automatic object detection method based on mathematical morphology image processing techniques is presented. This paper does not present a complete methodology but rather an illustration of a potential application of mathematical morphology to medical images. The method based on mathematical morphology tools includes an improved multiresolution morphological decomposition algorithm (IMMD...

Pyramidal multiresolution image representation is an ordered sequence of decreasing spatial resolution images in which each image is filtered version of its predecessor. Pyramidal representation of an image is applied in various fields of image processing: progressive image transmission used in interactive image communication over low-bandwidth channels, for image compression used in transmissi...

Images are replications of real-world objects. Image enhancement is the method of applying certain changes to an input image. The changes require feedback from a human evaluator of the output resulting image. The target of image enhancement is to improve the quality of the image so that the resultant image is better than the original image. In this paper remote sensing images has been used. Tra...