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Gaussian Multi-Scale Feature Disassociation Screening in Tuberculosis

Journal: International Journal of Computational Engineering Research(IJCER) (Vol.6, No. 12)

Publication Date:

Authors : ; ;

Page : 66-71

Keywords : Feature Descriptors; Rotation Variant feature; Tuberculosis;

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Tuberculosis is a major health threat in many regions of the world. When left undiagnosed and consequently untreated, death rates of patients with tuberculosis are high. We first extract the lung region using a lung nodule Edge detection method. For this lung region, we compute a set of texture and shape features, which enable the x-rays to be classified as normal or abnormal using a binary classifier. Thus, a development of edge detection solution to address these requirements can be implemented in a wide range of situations. The general criteria for edge detection includes detection of edge with lower rorrate ,whichmeans that the detection should accurately catch as many edges

Last modified: 2017-02-07 19:10:10