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Research on Classification Rule of Images Emotion Extraction Based on Fuzzy Decision Tree

Author: LuHuiJun
Tutor: ChenJunJie
School: Taiyuan University of Technology
Course: Applied Computer Technology
Keywords: Image Feature Image emotional Fuzzy Decision Tree Rule extraction
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 52
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Abstract


With the development of society and network technology to produce a large amount of image information . How many of these image categories, storage and retrieval, has been the current computer technology research hotspot . Image classification based on emotional retrieval can greatly improve image classification accuracy gaining attention . The main idea of the image based on emotion classification retrieval through a variety of methods to find the mapping between image visual features and high-level semantics mining between image visual features and high-level semantics , so as to achieve the image collection in accordance with the semantics of a reasonable classification and labeling purposes. Image visual features to high-level semantic mapping key is to find the mapping rules . Visual features of the image emotional semantic mapping matching rules with complexity , ambiguity , variability , and loose , emotional attributes and visual properties of the image also exists fuzziness . However fuzzy decision tree can be a good solution to the ambiguity and vagueness problem , a more precise classification of a sample set of fuzzy classification attributes , extracted from the corresponding fuzzy decision tree classification rules . Therefore , select fuzzy decision trees emotion - based classification and extraction rules from the tree should have a good effect on the image . Fuzzy decision tree algorithm based on image emotion classification by reading a lot of literature , a detailed study . Mapping relationship between the extraction methods , including low-level image visual features and fuzzy way , the image representation of the emotional characteristics and fuzzy method and image emotional characteristics and image low-level visual features include fuzzy decision tree the definition and use of key technologies , the fuzzy decision tree algorithm is applied to the image emotion classification and the algorithm to select the method of classification of property changes , detailed description of the rule extraction and rule processing methods from the fuzzy decision tree . The final paper proposes a fuzzy decision tree algorithm applied to the image emotion classification rules extraction .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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