Certain investigations on fast discrete curvelet transform for medical image compression and fabric defect detection

Abstract

According to the global medical reports, one-third of children under age 10 die due to brain cancer. Nearly 26 children in the age group of 10 among 57 children and 33 children in the age group of 15 among 75 children die every year due to brain cancer. In the female, brain cancer remains the major threat next to breast cancer with an average of 69 deaths every year in the age up to44. Of 1400 patients diagnosed with malignant brain cancer newlinenearly 1100 people die every year Among all types of cancer, brain cancer is really horrible surpassing the hardships produced by other types of cancer. The norm cost of brain cancer is approximately higher than five times the cost of curing other cancers like breast or prostate. A number of imaging techniques can be made use of to predict the malignant proliferation during the initial stages. The head is scrutinized lightly at various angles to create a three-dimensional image using a class of X-ray known as CT (Computer Tomography) scans. These scanned images are united by means of a computer to form an accurate, comprehensive view displaying the tumor or the flaws in the brain. A brain tumor near the bone or that is associated with the bone can be identified using CT scans. In medical cases, requiring immediate attention, the first step in the process of identifying the tumor is CT scan. The most widely used excellent technique of imaging in identifying different kinds of brain tumor is Magnetic Resonance Imaging (MRI). MRI scanning contrasts the conventional technique which uses X-rays and computers by employing radio waves and magnetic fields for producing accurate pictures of the brain. Perceptible slices of the brain are obtained and they are connected together to form a threedimensional image of the brain tumor newline newline