By Uvais Qidwai
Creation to picture Processing and the MATLAB EnvironmentIntroduction electronic picture Definitions: Theoretical Account photograph homes MATLAB Algorithmic Account MATLAB CodeImage Acquisition, kinds, and dossier I/OImage Acquisition snapshot kinds and dossier I/O fundamentals of colour photographs different colour areas Algorithmic Account MATLAB CodeImage ArithmeticIntroduction Operator fundamentals Theoretical TreatmentAlgorithmic Treatment Coding ExamplesAffine and Logical Operations, Distortions, and Noise in ImagesIntroduction Affine Operations Logical Operators Noise in photos Distortions in ImagesAlgorithmic Account. Read more...
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Extra resources for Digital Image Processing : An Algorithmic Approach with MATLAB
Image arithmetic is the implementation of standard arithmetic operations, such as addition, subtraction, multiplication, and division, for images. Image arithmetic has many uses in image processing, both as a preliminary step in more complex operations and by itself. This chapter covers some of the most commonly used operations applied to digital images. The differences from matrix arithmetic will be pointed out at the appropriate places in the discussion. 2 Operator Basics Image arithmetic operators operate on either two images of exactly the same size or an image and a number.
3) Or if the operator computes absolute differences between the two input images, then: R(m, n) = | P(m, n) − Q(m, n)|. 4) Or if it is simply desired to subtract a constant value C from a single image, then: R(m, n) = P(m, n) − C . indb 41 9/17/09 5:04:45 PM 42 � Digital Image Processing: An Algorithmic Approach with MATLAB® If each pixel value corresponds to an n-tuple instead of a number (for instance, the color image would have each pixel as a vector of three values corresponding to red, blue, and green components), then such pixels are operated on by subtraction at each corresponding vector element to produce the output value.
The techniques that are used to characterize the basic type of CCD camera remain “universal” and can be transparently applied to other technologies. The basic principle of any charge-based camera is the emission of charges proportional to the incident light on these cells from the photosensitive elements or cells present in the main imaging hardware. Whereas regular cameras generate images based on the photoemissions of sensors in the camera, infrared cameras exploit similar behavior of thermal cells; hence, they can detect “heat waves” within certain temperature ranges and convert them into electrical signals, which are then displayed as images.