This paper proposes an approach to the detection and extraction of specific features in ideogram image. Ideogram is a depiction healthy chromosome used karyotyping process - procedure designed diagnose chromosomal abnormalities. Extraction part general algorithm for abnormlities. According algorithm, both chromosomes ideograms have be parsed converted into single data format further comparison....

With the development of deep convolutional neural network, recent research on single image super-resolution (SISR) has achieved great achievements. In particular, networks, which fully utilize features, achieve a better performance. this paper, we propose an dual features extraction network (SRDFN). Our method uses blocks (DFBs) to extract and combine low-resolution with less noise but detail, ...

In this paper we present a robust feature matching scheme in which features can be matched in 2.3μs. For a typical task involving 150 features per image, this results in a processing time of 500μs for feature extraction and matching. In order to achieve very fast matching we use simple features based on histograms of pixel intensities and an indexing scheme based on their joint distribution. Th...

The semantic Web will bring meaning to the Internet, making it possible for web agents to understand the information it contains. However, current trends seem to suggest that it is not likely to be adopted in the forthcoming years. In this sense, meaningful information extraction from the web becomes a handicap for web agents. In this article, we present a framework for automatic extraction of ...

One of the key features of virtually all object recognition systems is the ability do deal with occlusions of detected objects. This article is focused on identification of occluded artificial objects such as square markers. The article reviews frequently used methods for detection of partially occluded markers. Further, our implementation of two object recognition methods is presented. The fir...

Among the multiple models for 3-D shape reconstruction, Shape from silhouette (SFS) is one of the fast and simple 3D shape rendering techniques as compare to other approaches. In SFS model multiple images captured from different viewpoints in a controlled environment are used as input data at the front end to extract silhouette and are free of noises. Silhouette extraction from such well-define...