Lung Nodule Detection Based on Noise Robust Local Binary Pattern
نویسنده
چکیده
In this paper a new method for detection of lung nodules in CT image is proposed which is robust to noise. For nodule detection, two important steps are followed: feature extraction and classification. For features extraction, some texture features are extracted based on an extended type of Local Binary Pattern (LBP). LBP is one of the most important feature extractor in texture image but one of the drawback of it, relates to noise because LBP is more sensitive to noise. The key point of the proposed LBP is robustness to noise by using uniform texture information. Support Vector Machine (SVM) is used for classification to distinct the pathological change (nodule) from other normal regions of the chest.
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