Understanding road features such as lanes, the color of lanes, and sidewalks in a live video captured from a moving vehicle is essential to build video-based navigation systems. In this paper, we present a novel idea to understand the road features using support vector machines. Various feature vectors including color components of road markings and the difference between two regions, i.e., cho...

As computers and Internet become more and more available to families, access of objectionable graphics by children is increasingly a problem that many parents are concerned about. This paper describes WIPETM (Wavelet Image Pornography Elimination), a system capable of classifying an image as objectionable or benign. The algorithm uses a combination of an icon lter, a graph-photo detector, a col...

Color and texture are two important low-level features of a video frame. These features can be used either alone or in combination using appropriate weights for video shot detection. We propose a new soft-decision approach from the HSV color space for modeling combined human visual perception of color and texture in a single feature vector called COLTEX. It shows encouraging results in shot det...

Classify the apple’s internal quality is important for apple’s quality. Mould core apple is not eatable and can reduce the juice quality if used for making juice. The core tissue’s color is brown and the density of mould core apple is lower than a normal apple. This paper describes the detection of apple’s one internal quality (mould core disease) on the physical basis -density. X-ray technolog...

This work introduces a new segmentation technique that is based on the Support Vector Machines (SVMs). This segmentation procedure classifies the different pixels of an image between those that belongs to a region and the others that do not belongs to it. The technique is applied to color medical images in order to separate the different color regions into them. This is a technique that require...

In this paper, we adopt local Fourier transform as a texture representation scheme and derive eight characteristic maps for describing different aspects of co-occurrence relations of image pixels in each channel of the (SVcosH, SVsinH, V) color space. Then we calculate the first and second moments of these maps as a representation of the natural color image pixel distribution, resulting in a 48...

We propose a new image feature that merges color and shape information. This global feature, which we call color shape context, is a histogram that combines the spatial (shape) and color information of the image in one compact representation. This histogram codes the locality of color transitions in an image. Illumination invariant derivatives are first computed and provide the edges of the ima...

Content-based image retrieval system based on an efficient combination of both colors and features is explained in this paper. According to Kekre’s Transform, feature vectors are formed using a combination of row mean and column mean of both query as well as database images, to measure the extent of similarity using Euclidian distance. Similarly, HSV color space quantifies the color space into ...

Abstract- With the advancement and development of computer network technologies, the way for intruders has become smoother; therefore, to detect threats and attacks, the importance of intrusion detection systems (IDS) as one of the key elements of security is increasing. One of the challenges of intrusion detection systems is managing of the large amount of network traffic features. Removing un...