TY  - JOUR
T1  - Conversion of Orthogonal Beta Function for Analysis Detection Lung Cancer Stages
AU - Maki Kadham, Shaymaa AU - Mohammed, Hind Rustum AU - Saheb Abo Hamed, Hawraa 
JO  - Journal of Engineering and Applied Sciences
VL  - 14
IS  - 16
SP  - 5917
EP  - 5924
PY  - 2019
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2019.5917.5924
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2019.5917.5924
KW  - bate functions
KW  -Finite symmetric orthogonal function bate orthogonally relation
KW  -transformlinear
KW  -high accuracy
KW  -function
KW  -efficient
AB  - 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.
ER  -