DESCRIPTION.docx - IMAGE Image is the two dimensional function represented as f(x y in which f is the amplitude and x and y are spatial coordinates it

# DESCRIPTION.docx - IMAGE Image is the two dimensional...

• Lab Report
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IMAGE Image is the two dimensional function represented as f(x, y), in which f is the amplitude and x and y are spatial coordinates, it allows multiple algorithm to applied on input data and to avoid troubles such as noise humiliation and signal deformation during processing. Image= PSF ¿ Object Function + Noise s = p * o + n In digital image s is represented as mathematical representation having a functional model of the scene , o is the object function , p is the point spread function (PSF) and n is the additive noise in the image. MEDICAL IMAGE It defined as 2D or 3D function to envision and evaluate interior structure of body parts. Medical imaging inquires to divulge interior structures unseen by the bones and skin, and also evaluate abnormality and treat infection. Medical image data sets are represented as DICOM format. DICOM FORMAT The word Dicom stands for digital imaging and communications in medicine which is usual for treatment, printing, transmitting and storing information in the medicinal imaging. Dicom files can be switch among two entities which are the competent of patient data and receiving an image in the Dicom format. PROCESSING Processing an image is a multifaceted task. Processing essentially includes subsequent major steps Pre-processing and Post-processing. Pre-processing involves the noise diminution which is filtration. Noises mostly diminish the eminence of an image it may be a salt and pepper noise or Gaussian noise. Post-processing includes the thresholding, edge detection, and segmentation to increase the excellence of an image and to preserve its edges of an image. Enrichment of image has two areas Frequency and spatial domain. In Frequency domain, mathematical function is analyzed on the basis of frequency whereas, in spatial domain operation applied directly on pixels and spatial domain is more classified in two type one is linear and the other one is non-linear filters. For processing an image it is important to remove any unwanted information from the image. Detection of tumor consists of two main steps: Pre-Processing involves Filtering. Post-Processing involves Thresholding, Edge Detection and Segmentation.

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PRE-PROCESSING NOISE Noise is the random variation and degradation which caused by external disturbance in the image and spoils it eminence. There are different types of noises present in an image. Salt and Pepper noise Gaussian noise Speckle noise Periodic noise Salt and pepper noise Salt and pepper noise is also recognized as a impulse noise, it is caused by pointed and rapid interruption in the image. As noise will decrease the accuracy of an image so it’s necessary to abolish them by using suitable filters. In this noise randomly black and white pixels are superimposed over the image. An abundant statistical assessment shows that salt and pepper noise is the most common noise in medical images.
• Winter '16
• Unknown

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