Identifying Abnormalities in Lung CT Images Based On Honeycomb Texture Segmentation
CT(Computetd Tomograpy),CAD(Computer Aided Diagnosis )
The honeycomb texture based on the lung diseases are diagnosed based on the part of lung tissue in CT images, since the texture of segmentation is the most essential part of Computer Aided Diagnosis (CAD) systems. In this paper abnormality in lung tissues shown in CT imageis segmented by wavelet transform method. Wavelet transform uses honeycomb texture in lung region for segmentation. High resolution areas are extracted from the vertical sub-image of lung region. The regions that have low pixel size of intensities are placed in separate region and it is grown for segmentation.
D.Janagan. "Identifying Abnormalities in Lung CT Images Based On Honeycomb Texture Segmentation".INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH ISSN:2321-9939, Vol.3, Issue 2, pp.130-134, URL :https://rjwave.org/ijedr/papers/IJEDR1502024.pdf
Volume 3 Issue 2
Pages. 130-134
