Importance Of Image Processing

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Image processing is a method of signal processing for which input is an image and output is either an image or set of parameters related to the image. It is a system in which an input image is changed into digital form and carries out some mathematical operations on it, in order to get an enhanced image or to take out some helpful information from it. It is a type of signal resistance in which input is image, like video structure or photograph and output may be image or parameters connected with that image. Image processing consists of a large range of algorithms and mathematical operations. Thus image processing has a wide range of applications in various fields. Digital processing techniques help in manipulation of the digital images by using…show more content…
It is used to compress the number of bits required to represent the image information in the scene, without any loss of information. (e) Color Image Processing Color image processing having great importance because of the vast increase in the practice of digital images over the internet. This contains color modeling and processing in a digital field. (f) Wavelets and Multiresolution Processing Wavelets are used for signifying images in different level of resolution. It is used mainly for huge data compression and pyramidal demonstration where images are separated into smaller areas. Wavelets are useful in the procedure of X-ray and magnetic-resonance images in medical purposes. (g) Morphological Processing Morphological processing is a set of non-linear function which is linked to the shape or morphology features of an image. It deals with the apparatus used for the extraction process of an image and the components that are useful in the demonstration and explanation of shape. (h) Segmentation Image segmentation is a method of dividing a digital image into several segments (group of pixels, also called as super pixels). The aim of segmentation is to represent…show more content…
1.3 Segmented image [3] The way of this process is to choose the threshold value and multiple-levels are chosen. An image is assumed to be divided into two parts foreground and background. The interesting objects in the image area are foreground and the rest is a background. Threshold T is first finalized by analyzing all the pixel intensity. Consider a pixel f(x, y) and classification is done as If f(x,y)= {█(>@s tissue. Secondary tumors of the brain are very common in the terminal phases of patients with an incurable metastasized cancer the most common types of cancers that bring about secondary tumor of the brain are lung cancer, breast cancer, malignant melanoma, kidney cancer and colon cancer (in decreasing order of frequency).Secondary brain tumor are the most common cause of tumor in the intracranial cavity. The skull bone structure can also be subject to a neoplasm that by its very nature reduces the volume of the intracranial cavity and can damage the brain. In the United States there are about 170,000 new cases every

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