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The job of language grounding is to research the relationship between language and external physical stimuli. In this paper, we build a language grounding model which is an extension of hidden Markov model. In a show-and-tell experiment, we use this model to learn the words meaning and simple bi-gram syntax, and finally generate the natural language description of special 2-D scenes automatically...
In this research we present a novel cognition language model ViMac. Through the vision system ViMac can acquire the semantic of the objects shown in 2D images and output its own description for the new images. ViMac uses prototypes as its semantic representation and use KNN method to measure the similarity between these data points in visual subspaces. The BLEU evaluation shows that this method can...
The type of the leaf vein can be a useful parameter in automatic identification of plant species. Leaf vein extraction is the precondition of discriminating the leaf vein type. In this paper a new method is presented for leaf vein extraction based on mathematical morphology. Firstly, the color image of the plant leaf is transformed to gray image according to the hue and intensity information. Secondly,...
Leaf vein contains significant physiological information of plant. Leaf vein extraction is one of the key steps in plant modeling and plant recognition. Several methods have been presented on leaf vein extraction but all of them are limited in narrow application fields. In this paper a universal method is proposed using hue and intensity information. According to the color difference between leaf...
Outdoor discrimination of fruits based on image processing technology is worth studying. Previous studies and technologies are discussed, then a new technology based on region features, which taken tomato as subject, is presented. The discriminating process includes gray transformation, region edge enhancement, region segmentation and other process. 70 images are tested with the technology and the...
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