Abstract
Content Based Image Retrieval is very hottest research area in computer vision and image processing. To perceive arbitrary natural scene from complex environment is a challenging issue in visual imaging and processing research area. Neural Network is a grid of "neuron like" nodes, in this paper we follow towards Neural Network (NN), is committed to contributing a new technical concept for the scene understanding and recognition by consolidating new intellectual visual features into the scene expression, which can be very crucial and provide cognitive intelligence to cloud robot. Inspired by Artificial Neural Network intelligence due to its dynamic nature, we make use of the attributes of the Gabor filter and Laplacian of Gaussian filter which is to be akin to robot visual perception, and apply the wavelet transform to inspect a new approach in complex environment natural scene perception and understanding for virtual phenomena. Through the study of Neural Network, the perception ability of the natural scene image from complex environment for cloud robot is enhanced with the integration of cognitive visual features and the scene expression.
Original language | English |
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Title of host publication | ICCWAMTIP 2014 |
Subtitle of host publication | 2014 11th International Computer Conference on Wavelet Active Media Technology and Information Processing |
Place of Publication | Piscataway, New Jersey |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 293-296 |
Number of pages | 4 |
ISBN (Electronic) | 9781479972081 |
DOIs | |
Publication status | Published - 2014 |
Externally published | Yes |
Event | 2014 11th International Computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2014 - Sichuan Province, Chengdu, China Duration: 19 Dec 2014 → 21 Dec 2014 |
Other
Other | 2014 11th International Computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2014 |
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Country/Territory | China |
City | Sichuan Province, Chengdu |
Period | 19/12/14 → 21/12/14 |
Keywords
- Contents Based Image Retrieval
- image segmentation
- feature extraction
- HTN
- MDP
- cloud computing