Intensity Transformation PDF
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This document describes intensity transformation techniques in image processing. It covers different types of transformations, including linear, logarithmic, and power law transformations. The techniques are applied to enhance image contrast and for image thresholding.
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Intensity Transformation ntensity transformation as the name suggests, we transform the pixel intensity value using some transformation function or mathematical expression. Intensity transformation operation is usually represented in the form s = T(r) where, r and s denotes the pixel value before...
Intensity Transformation ntensity transformation as the name suggests, we transform the pixel intensity value using some transformation function or mathematical expression. Intensity transformation operation is usually represented in the form s = T(r) where, r and s denotes the pixel value before and after processing and T is the transformation that maps pixel value r into s. Basic types of transformation functions used for image enhancement are Linear (Negative and Identity Transformation) Logarithmic (log and inverse-log transformation) Power law transformation The below figure summarize these functions. Here, L denotes the intensity value (for 8-bit, L = [0,255]) This is a spatial domain technique which means that all the operations are done directly on the pixels. Also known as a point processing technique (output depend only on the single pixel) as opposed to neighborhood processing techniques(like filtering) Applications: To increase the contrast between certain intensity values or image regions For image thresholding or segmentation In [ ]: 1
