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In this paper, an automatic translation system for Korean signboard images is described. The system includes detection and extraction of text for the recognition and translation of shop names into English. It deals with impediments caused by different font styles and font sizes, as well as illumination changes and noise effects. Firstly, the text region is extracted by an edge-histogram, and the text...
In this paper, an automatic recognition system for wine label images is described. The system includes detection and extraction of text for the recognition for wine label images. It deals with impediments caused by different font styles and font sizes, as well as illumination changes and noise effects. Firstly, the text region is extracted by an edge-histogram, and the text is binarized by clustering...
We propose an integrated framework that can simultaneously segment and register a set of medical images using a geometric active model and a pseudo-likelihood method. First, we segment given medical volume data using a fast matching and geometric deformable model and extract a surface of an object from the segmented volume data. Second, we use the hidden Markov random field model and the pseudo-likelihood...
The problems of segmentation and registration are traditionally approached separately; yet the accuracy of one is of great importance in influencing the accuracy of the other. We propose a new method, using shape information and a statistical model, to address the problem of multimodality medical image registration. Using the approach presented in this paper, we apply a Q-function to measure the statistical...
In this paper, a system for automatic detection and recognition of Korean texts or shop names in outdoor signboard images is described. The system includes detection, binarization and extraction of text in a signboard image captured by a camera of a mobile phone for the recognition of the shop name. It can deal with different font styles and sizes as well as illumination changes. Individual characters...
A novel image registration algorithm that uses two kinds of information is presented: One kind is the shape information of an object and the other kind is the intensity information of a voxel and its neighborhoods consisting of the object. We, first, segment the medical volume data using the Markov random field model and the ICM algorithm and extract the surface region of the object from a segmented...
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