Quantitative Analysis Of Pulmonary Emphysema Using LBP Technique - Shari, J.
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Pulmonary emphysema is a chronic obstructive pulmonary disease[COPD] which causes shortness of breath.Cigarette smoking is the most common cause.This book aims at improving quantitative measures of emphysema in Computed Tomography images of lungs using texture analysis technique called Local Binary Pattern[LBP].A study is performed by choosing Local binary Pattern as texture feature and classification is performed using KNN classifier. Classification accuracy and quantification shows that KNN classifier performs better when LBP is used as texture feature in determining Pulmonary Emphysema.

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Produktbeschreibung
Pulmonary emphysema is a chronic obstructive pulmonary disease[COPD] which causes shortness of breath.Cigarette smoking is the most common cause.This book aims at improving quantitative measures of emphysema in Computed Tomography images of lungs using texture analysis technique called Local Binary Pattern[LBP].A study is performed by choosing Local binary Pattern as texture feature and classification is performed using KNN classifier. Classification accuracy and quantification shows that KNN classifier performs better when LBP is used as texture feature in determining Pulmonary Emphysema.
Autorenporträt
Shari.J is currently working as Assistant Professor in Hyderabad,India .She has pursued her Masters in Engineering from Anna University Chennai. She has also published a paper in CIIT International Journal for Digital Image Processing.She has also presented papers in national and international conferences..