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Digital image processing is the use of a digital computer to process digital images through an algorithm. [1] [2] As a subcategory or field of digital signal processing, digital image processing has many advantages over analog image processing. It allows a much wider range of algorithms to be applied to the input data and can avoid problems ...
Digital image correlation and tracking. Digital image correlation and tracking is an optical method that employs tracking and image registration techniques for accurate 2D and 3D measurements of changes in images. This method is often used to measure full-field displacement and strains, and it is widely applied in many areas of science and ...
Digital imaging. Digital imaging or digital image acquisition is the creation of a digital representation of the visual characteristics of an object, [1] such as a physical scene or the interior structure of an object. The term is often assumed to imply or include the processing, compression, storage, printing and display of such images.
In mathematical morphology and digital image processing, a top-hat transform is an operation that extracts small elements and details from given images.There exist two types of top-hat transform: the white top-hat transform is defined as the difference between the input image and its opening by some structuring element, while the black top-hat transform is defined dually as the difference ...
Digital image. A digital image is an image composed of picture elements, also known as pixels, each with finite, discrete quantities of numeric representation for its intensity or gray level that is an output from its two-dimensional functions fed as input by its spatial coordinates denoted with x, y on the x-axis and y-axis, respectively. [1]
An image processor, also known as an image processing engine, image processing unit ( IPU ), or image signal processor ( ISP ), is a type of media processor or specialized digital signal processor (DSP) used for image processing, in digital cameras or other devices. [1] [2] Image processors often employ parallel computing even with SIMD or MIMD ...
Erosion (usually represented by ⊖) is one of two fundamental operations (the other being dilation) in morphological image processing from which all other morphological operations are based. It was originally defined for binary images, later being extended to grayscale images, and subsequently to complete lattices.
Homomorphic filtering can be used for improving the appearance of a grayscale image by simultaneous intensity range compression (illumination) and contrast enhancement (reflection). Where, m = image, i = illumination, r = reflectance. We have to transform the equation into frequency domain in order to apply high pass filter.
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