Title :
Development of KITE image processing technique for brain tumor detection by interfacing patient´s Live Brain Image
Author_Institution :
Instrum. Eng. Dept., SGGSIET, Nanded, India
Abstract :
In this paper new technique called `KITE´ is implemented for brain tumor growth analysis. This is done by using gray images pixel count inside kite shape boundaries. We also differentiated gray color shades to focus over the outgrowth of tumor. As we know in medical field, countless radiological and pathological images in advanced organization are developed commonly in clinics and medical focuses with refined picture securing gadgets and computerized scanners. Medical images are for the most part intricate in nature and are utilized for diagnosis, therapy, exploration and training. Our implemented KITE technique proves the most cost effective and high precision application for detection of brain tumor.
Keywords :
brain; image colour analysis; medical image processing; patient diagnosis; radiology; shape recognition; tumours; KITE image processing technique; brain tumor detection; brain tumor growth analysis; clinics; computerized scanners; differentiated gray color shades; gray images pixel count; kite shape boundaries; medical field; medical images; pathological images; patient live brain image interfacing; radiological images; refined picture securing gadgets; Image segmentation; Indexing; Medical diagnostic imaging; Shape; Tumors; gray coding images; kite algorithm; tumor detection;
Conference_Titel :
India Conference (INDICON), 2014 Annual IEEE
Conference_Location :
Pune
Print_ISBN :
978-1-4799-5362-2
DOI :
10.1109/INDICON.2014.7030650