Human Skin detection deals with the recognition of skin-colored pixels and regions in a given image. Skin color is often used in human skin detection because it is invariant to orientation and size and is fast to process. A new human skin detection algorithm is proposed in this paper. The three main...

The detection of a fade in and a fade out in the video segmentation is very difficult as compared to the detection of abrupt transition. Mostly, the disturbances are caused due to the object/camera motion and the illumination arising from flashlight, fire, flicker and explosion. This mainly results into...

This paper describes design, development and deployment of a fuzzy based agricultural decision support system which help farmers to make wise decisions regarding selection of a crop. Various parameters for decision making are understood and Fuzzy interface systems are developed. This study finds application...

Epilepsy is a neurological disorder characterized by the existence of recurring seizures. Like many other neurological disorders, epilepsy can be appraisal by the electroencephalogram (EEG). The EEG signal is highly non-linear and non-stationary and consist of lot of data including significant data and...

Image quality assessment is used for automatic evaluation of the image accurately. In this article, objective reference image quality assessment metric is used to evaluate the quality of retargeted images. The metric measures perceptual geometric distortion and information loss of retargeted images using...

This paper proposes a method for raindrop measurement based on image processing using 2D double density dual tree DWT.Concept which make this project is to use a technique apart from disdrometer to abstract parameter values such as drop size from image.Trasform technique 2D double density dual tree DWT...

In this paper, the effect of meditation on the seven load arithmetic tasks using Electroencephalogram (EEG) is investigated. The focused attention on breathing is taught to 11 healthy subjects as a simple meditation tech-nique. EEG signals have been recorded at the beginning of meditation and after four...

Cyclic Redundancy Check (CRC) is widely used error detection technique in many contemporary communication systems such as Fourth Generation (4G) Mobile Communication-Long Term Evolution (LTE) and LTE Ad-vanced, Wi-Fi, Wireless LAN. For real time embedded systems, code size (Memory), Processor Machine...

Anomalies in video scenes means unexpected or unusual activity which is usually not frequently observed. Such activities hence are rare and require sudden attention so that it can be detected as early as possible. There is a need to automatically identify and locate where such anomaly is present. Optical...

In the present era of the digital world, digital images and videos are the main carriers of information. However, these sources of information can be easily manipulated by using readily available photo editing softwares such as Photoshop etc. Nowadays, it is possible to add or remove some important objects...

Artificial intelligence techniques are being used effectively in medical diagnostic tools to increase the diagnostic accuracy and provide additional knowledge. Electromyography (EMG) signals are becoming increasingly im-portant in clinical and biomedical applications. Detection, processing and classification...

Facial Sketches are most widely used in law enforcement agencies for identification and apprehension of suspects, which may involve in several criminal activities. If the photographs of the suspect is stored in the mug shot data base, then the identity of the suspect is possible, but in most of the cases...

This paper presents a classification scheme for Interstitial Lung Disease (ILD) pattern using Patch based approach and ANN classifier. Various methods are proposed for classification of ILD patterns but still accuracy can be improved when ILD cases are complex. In this paper, we have extracted features...

Shot change detection is a significant step in content based video indexing and retrieval. There are different types of transitions between the shots. Most of the shot change detection algorithms deal with these transitions separately. In this paper, we have carried out the analysis of shot change detection...

In recent years, the popularity of portable devices for capturing images, video, text extraction, etc. become key problems to detect and recognize the text in images. Extraction of text information from images or scene involves binary, text detection, text localization, word segmentation, and enhancement...

Identification of abnormalities in the chromosomes is a tedious job. Conventionally gray-scale imaging was used for chromosome analysis and was based on features like relative length, banding pattern, centromere posi-tion. As an alternate, Multiplex fluorescence in-situ hybridization (M-FISH) is a combinatorial...

Electro-encephalogram (EEG) is one of the most practiced signals in brain computer interface systems. Several distinct EEG patterns have been analyzed in identifying physiological and psychological states. Work presented here focuses on classification of EEG patterns for alcoholic and controlled states....

Magnetic Resonance Imaging (MRI) is one of the widely used imaging modality for visualizing and assessing the brain anatomy and its functions in non-invasive manner. The most challenging task in analysis of brain MRI images is image segmentation. Automatic and accurate detection of brain tumor is one...

Shot boundary detection is the first step in the video processing applications. The detection of gradual transition is quite difficult compared to the detection of abrupt transition. Among the different gradual transitions, the detection of wipes is more challenging because the wipes are of different...

This paper presents a novel approach to multimodality medical image fusion for better visualization of lesions and calcification. The algorithm utilizes source modalities as Computed Tomography (CT) and Magnetic Res-onance Imaging (MRI). It is a feature based fusion technique in which Rotated Wavelet...

Sparsity of signals is a crucial fundamental concept in diverse fields such as compressed sensing, image processing, dictionary learning, blind source separation and sampling theory. The objective of this paper is to present sparsity analysis of 1-D speech signal and 2-D image using Gini index, L1-norm...

Digital world has developed tremendously. Initially textual information associated with images is used to do image based search. From user's perspective the final result contains both relevant as well irrelevant images. The expected yield from such a system is to get pertinent result. Satisfaction of...

Video capturing by non-professionals will lead to unanticipated effects. such as image distortion, image blurring etc. Many researchers focused on these drawbacks to enhance the quality of videos. In this paper an algorithm based on s-R-t transform is proposed to stabilize jittery videos .A stable output...

This paper deals with algorithm for extraction information from visualized droplets using signal processing. Study show that rain is "patchy" in nature and consists of patches of Drop Size Distributions (DSD) over differ-ent scales. The characteristics of high resolution, shift-invariance, and high directionality...