Review

2d image convolution conv2 function (MathWorks Inc)

MathWorks Inc is a verified supplier

About

News

Press Release

Team

Advisors

Partners

Contact

Bioz Stars

Bioz vStars

Buy from Supplier

Structured Review

MathWorks Inc 2d image convolution conv2 function
2d Image Convolution Conv2 Function, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/2d+functionality/pm40593680-409-10-9
Average 90 stars, based on 1 article reviews

2d image convolution conv2 function - by Bioz Stars, 2026-10

90/100 stars

Images

other:

Article Title: Lane Centerline Extraction Based on Surveyed Boundaries: An Efficient Approach Using Maximal Disks
Article Snippet: It is important to note that the implementation of the MD approach is based entirely on custom code, which offers plenty of opportunities for optimization, while the VT and the DT take advantage of very mature libraries from Mathworks (delaunayTriangulation, voronoi, bwdist, conv2, shortestPath).

Article Title: Spatial patterns of hepatocyte glucose flux revealed by stable isotope tracing and multi-scale microscopy
Article Snippet: Organelle perimeters were obtained using 2D image convolution with MATLAB’s “ conv2” function and a kernel to detect 8-connected image edges.

Article Title: Design of a Software Platform to Generate Convolutional Neural Networks for the Parametric Identification of a Cartesian Robot
Article Snippet: The kernels are rotated using two for loops because MATLAB® implements the convolution function (conv2) with a rotation in the kernel: The convolution of Eq.

Article Title: Spatial patterns of hepatocyte glucose flux revealed by stable isotope tracing and multi-scale microscopy.
Article Snippet: To denote separate contact sites from one another, MATLAB’s connected component labeling algorithm, ‘bwconncomp” is used in a similar fashion to how organelle objects are labeled previously.

Article Title: Depth-sensitive diffuse speckle contrast topography for high-density mapping of cerebral blood flow in rodents
Article Snippet: Instead of using the inefficient for-loops to calculate K s values within the raw image, we applied MATLAB’s built-in 2D convolution function (conv2) from the Image Processing ToolboxTM to implement an implicit multi-threading approach for the fast computation. shows the steps of the new fast parallel computation method to obtain a speckle contrast image from the raw intensity image, in which the kernel matrix was defined as a square matrix of N pixels × N pixels with all elements equal to 1 / N pixels 2 .

Microscopy:

Article Title: Cross-Correlation Increases Sampling in Diffusion-Based Super-Resolution Optical Fluctuation Imaging
Article Snippet: .. We then apply a convolution ( conv2() in MATLAB) of the images with a two-dimensional Gaussian function ( fspecial(“gaussian”) in MATLAB) to demonstrate the effect of a PSF from the diffraction limit of light in microscopy. ..

Article Title: Cross-correlation increases sampling in diffusion-based super-resolution optical fluctuation imaging
Article Snippet: .. We then apply a convolution ( conv2() in MATLAB ) of the images with a two-dimensional Gaussian function ( fspecial(‘gaussian’) in MATLAB ) to demonstrate the effect of a PSF from the diffraction limit of light in microscopy. ..

Standard Deviation:

Article Title: Ripple-locked coactivity of stimulus-specific neurons and human associative memory
Article Snippet: .. The firing rate map was then smoothed with a Gaussian kernel (kernel size, 5; standard deviation, 1.5; using MATLAB’s ‘fspecial’ and ‘conv2’ functions). ..