A reduced reference distortion estimation measure for color images

Bhateja, Vikrant; Srivastava, Aastha; Kalsi, Aseem

doi:10.1109/spin.2014.6777045

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Cited by 10 publications

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“…Reliable segmentation of brain tumors is of incredible essentialness for surgical arranging and therapy. Persistent endeavors have been made for tumor segmentation including arrangement and dynamic form systems [1,2,3,4].…”

Section: Background Studymentioning

confidence: 99%

Development of KITE image processing technique for brain tumor detection by interfacing patient's Live Brain Image

Patil

2014

2014 Annual IEEE India Conference (INDICON)

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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.

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Section: Background Studymentioning

confidence: 99%