Serves for effective segmentation of multidimensional datasets. MIB can recognize several number of imaging formats and offers a variety of image processing tools. It also simplifies utilization and quantification of acquired data. It permits users to segment large datasets, to realize 3D visualization, and to quantify images and models. Its parameters enable users to insert plugin s to customize the program for specific needs.
Serves for vector-valued image regularization. Anisotropic Diffusion 2D is a program based on variational methods and partial differential equations (PDEs). This tool consists in a single generic anisotropic diffusion equation that provides a simple interpretation of the regularization process in terms of local filtering with spatially adaptive Gaussian kernels. It also offers the possibility to specialize a generic expression into different regularization PDEs depending on different applications: flow visualization, image restoration, magnification, or inpainting.
Enables construction, manipulation, analysis and comparison of mass spectrometry (MS) images. MSight is designed for 2-D representation, as well as visual analysis and comparison of datasets obtained from protein or peptide separation combined to MS. The software allows navigation through large volumes of data and provides visualization tools to discriminate peptide or protein from noise or to perform differential analysis. It aims to improve understanding of correlated high-throughput MS.
Allows detection of location and body shape of leeches and other quasilinear animals in video sequences. Wormfinder includes several functions: (1) load images or video sequences; (2) test detection; (3) make complete detection; (4) correct problems; or (5) save results. Moreover, this tool assists users to measure along the entire body of the animal rather than only on a few discrete locations.
Provides an automatic single-animal tracking system for Drosophila larval locomotion analysis at a high-resolution. MaggotTracker includes four components (WormTracker, MagRecognizer, MagViewer and MagAnalyzer) and can measure multiple locomotive parameters. This software calculates up to 20 parameters to apprehend the different locomotive patterns. It can be applied, with other animals such as C. elegans, for quantitative phenotyping of locomotive behaviors.
Permits users to decompose an image into semantic regions. USEAQ is a superpixel extraction approach that performs joint spatial and visual quantization. This application uses the spatial and color quantization simultaneously to decompose an image. It (i) retrieves the grid, based on the positions of pixels, and preserves the spatial relationships between pixels and initial regions, and (ii) divides pixels into groups based on their colors.
Balances jittery image stacks. Image Stabilizer is based on the Lucas-Kanade algorithm. It can be applied to grayscale and color images. This tool can determine the geometrical transformation needed to best align each of the other slices with the "template".
Consists of a denoising application that utilizes ITV algorithm and image registration to work. Owl is a program that spot a stopping points for extent of denoising thanks to users input. Its process starts with two images that are compared and a similarity metric is derived. One of these two images is denoised, and users can obtain a similarity metric at each stage. A graph is then available for observing the similarity metric against the lambda value used to denoise the image.
Allows to visualize and present your images in several dimensions. The functionality of this imaging toolbox expands constantly with a wide range of different modules that are tailored to specific applications or microscope accessories. AxioVision offers countless functions for applications in the field of biological and medical routine research.
Increases the local contrast of an image. CLAHE uses the contrast limited adaptive histogram equalization to process. The contrast amplification in the vicinity of a given pixel value is delivered by the slope of the transformation function. This ImageJ plugin has three main parameters: block size, histogram and max slope.
Serves for iterative image deblurring. PID allows users to deconvolve a color image by splitting the channels and deblur each channel separately. It contains a graphical user interface (GUI) permitting users to specify several types of details such as stopping tolerance, threshold, or log convergence.
Allows analysis the macroscopic structure of veins in leaves. LEAF GUI is a program built upon a series of algorithms designed to threshold, clean, and segment images of leaves in which the vein structure is visible. The software enables users to extract descriptive statistics on the dimensions and positions of leaf veins and the areoles they surround by following a series of thresholding, cleaning, and segmentation algorithms given images of leaves where veins have been enhanced relative to the background.
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