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This paper mainly emphasizes on the POV (Persistence of Vision) technology with the help some mechanical arrangement, LED, equipment required, and consequently general cost is sliced to extremely moderate cost. Additionally, support and repairing of the display is easy to the point for anybody having a little electronics education can deal with this. All the synchronizing can be executed through programming...
In foggy and misty weather conditions, the contrast and color of images degrade. These degradation occur due to the attenuation of light and presence of air-light, light reflected from fog particles. Attenuation reduces the contrast and air-light increases the whiteness in the image. In this paper, a novel and efficient fog removal algorithm is proposed. The algorithm uses white color balancing with...
Color image segmentation is an emerging topic in current image processing research. There exist different techniques for the same. Region based approach like watershed algorithm is one of them. But, watershed approach normally results in problems like over segmentation, noise, etc. In this paper, an efficient approach for the color image segmentation is proposed. Here, the input image is converted...
Satellite color images carry a vast amount of information which needs an efficient image segmentation method to analyze. Because of its simplicity and low complexity, K-Means algorithm is frequently adopted for color image segmentation. But, usually the results of K-Means algorithm suffers from noises and hence over segmentation. This is due to the reasons that K-Means works on the basis of random...
Recent evolution in Human-Computer Interaction automation grant permission for the integration between the driver's nature and its causes of accidents. To make an automated driver assistance system, the postures of the driving person have to be analysed and recognized efficiently. In this proposed work an automated driving assistance system is developed based on six different postures i.e Operating...
This research addresses the problem of navigating a robotic vehicle autonomously on unstructured roads where road information is not accurate. A real-time system for finding and tracking unstructured road in off-road conditions is proposed. The subsystems of autonomous navigation — road detection, steering, and obstacle avoidance are discussed in detail. This method has been integrated into a vehicle...
This paper presents a new region growing based color image segmentation technique with the use of RGB channels. The seed pixel selection and region growing phases are based on 8-neighbour connectivity similarity measurement. The region growing process based on intensity measurement between the seed pixel and 8-neighbour pixels of seed pixel. Region growing is applied to Red channel; Green channel...
In most of the studies related to human computer interaction like face detection, human detection, face recognition and emotion detection in the color image or videos, skin color was used as a cue or a feature. Because it handles some well defined problems such as pose, orientation and partial occlusion and varying illumination conditions. In spite of advantages of using skin as cue for various human...
Image classification is one of the major research areas of mining. Classification is basically to classify the images into similar groups. The classification is performed relevant to the type of contents it contains such as the color featured classification, texture images classification etc. In this paper, region based SAR images classification is performed. The complete work is the mix approach...
This paper presents a location-sensitive algorithm for the automated insertion of virtual advertisements in videos. Virtual advertisements are objects (text messages, pictures, an animation or video sequence) that are introduced noninvasively into a video. Typically, this is done manually. Most automated approaches involve insertion of virtual advertisements in hard-coded, specific locations of videos...
Relational sub graph analysis, e.g. finding labeled sub graphs in a network, which are isomorphic to a template, is a key problem in many graph related applications. It is computationally challenging for large networks and complex templates. In this paper, we develop SAHAD, an algorithm for relational sub graph analysis using Hadoop, in which the sub graph is in the form of a tree. SAHAD is able to...
This paper presents a study towards machine generation of landform maps from optical remote sensing data. Our approach uses an offline trained multilayer perceptron (MLP) as a classifier, which is subsequently used to identify the landform classes in a satellite image. The paper emphasizes building a reasonably extensive database using multispectral images from which relevant texture information is...
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