Shaymaa  Maki Kadham, Hind Rustum  Mohammed, Hawraa  Saheb Abo Hamed, 
    Conversion of Orthogonal Beta Function for Analysis Detection Lung Cancer Stages,
    Journal of Engineering and Applied Sciences,
    Volume 14,Issue 16,
    2019,
    Pages 5917-5924,
    ISSN 1816-949x,
    jeasci.2019.5917.5924,
    (https://makhillpublications.co/view-article.php?doi=jeasci.2019.5917.5924)
    Abstract: This study is an algorithm based medical image processing to detection lung cancer in CT images.
The detection system comprises of different stages to finally reach its target which is todetect lung tumor. The
beta function used for properties lung cancer in CT images analysis because the role of that function in the
accurate stages analysis. Statistical properties were determined maintaining of 7 properties: entropy, median,
mean, contrast, correlation, energy and homogeneity. These statistical properties have proved to be accurate
in determining the difference between time periods for lung cancer. We used the function of the persistence
of the function as it helps in the analysis of areas infected with high accuracy. The results showed orthogonal
conversion has been efficient in analyzing the area of pixels without affecting the parameters of the image and
determine the stages of disease.
    Keywords: bate functions;Finite symmetric orthogonal function bate orthogonally relation;transformlinear;high accuracy;function;efficient