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Application of PST for feature enhancement in synthetic-aperture radar (SAR) images. In this figure detected features (in red) are overlaid with the original SAR image. Feature detection on 1-D time domain data using phase stretch transform. Phase stretch transform (PST) is a computational approach to signal and image processing. One of its ...
scikit-image (formerly scikits.image) is an open-source image processing library for the Python programming language. [2] It includes algorithms for segmentation , geometric transformations, color space manipulation, analysis, filtering, morphology, feature detection , and more. [ 3 ]
It was developed during and is the product of several European research projects (VASARI, MARC, ACOHIR, Viseum) which were primarily about Imaging art, [4] but which demanded a new approach to image processing. Compared to most image processing libraries VIPS needs little RAM and runs quickly, especially on machines with more than one CPU. This ...
On August 25, 2004 the AIPS++ code base was re-organized to a more modular structure; since then it is referred to as CASA ("Common Astronomy Software Applications"). CASA consists of a suite of C++ libraries derived from the original AIPS++ tasks. The Glish scripting system is being replaced by Python bindings, a system known as "CASApy".
SciPy (pronounced / ˈ s aɪ p aɪ / "sigh pie" [2]) is a free and open-source Python library used for scientific computing and technical computing. [3]SciPy contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering.
By virtue of the linearity property of optical non-coherent imaging systems, i.e., . Image(Object 1 + Object 2) = Image(Object 1) + Image(Object 2). the image of an object in a microscope or telescope as a non-coherent imaging system can be computed by expressing the object-plane field as a weighted sum of 2D impulse functions, and then expressing the image plane field as a weighted sum of the ...
The optical configuration for Fourier ptychography. Fourier ptychography is a computational imaging technique based on optical microscopy that consists in the synthesis of a wider numerical aperture from a set of full-field images acquired at various coherent illumination angles, [1] resulting in increased resolution compared to a conventional microscope.
In computer vision, the Lucas–Kanade method is a widely used differential method for optical flow estimation developed by Bruce D. Lucas and Takeo Kanade.It assumes that the flow is essentially constant in a local neighbourhood of the pixel under consideration, and solves the basic optical flow equations for all the pixels in that neighbourhood, by the least squares criterion.