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Performs rotation of an image around any point inside of the image.

The rotation around a point is performed in following sequence:1) Padding of the image.2) Rotation of the image around the image's center with IMROTATE.3) Cropping of the image.

Region based method for segmenting and splitting images of cells in an unsupervised manner.

Image Processing, 2018.[2] C. Panagiotakis and A. Argyros, Parameter-free Modelling of 2D Shapes with Ellipses, Pattern Recognition, vol. 53, pp. 259-275, 2016.

Rotate image without making black edges.

the rotation. This is possible if the image to be rotated is part of a bigger image, because there is enough information to fill the corners.

Rotate an image in X degrees.

% rotate_image - rotates an image given inside a matrix by the amount of "degree" counter-clockwise% using linear interpolation of the output grid points from the back-rotated input

MVTec Halcon function mex-wrapper

Representation of a given 2D shape with an automatically determined number of ellipses.

Find object in a image using template match with rotation

different orientations. The matching is is done by rotating the template and matching it to the image in various of angles, the best match is returned. Matching the template to the image can be done by

Generalized hough transform with template rotation

rotating the template and matching it to the image in various of angles, the best match is returned. Matching the template generalized hough transform. See the ReadRe file in the code zip file for more

The blank triangles that appear in the corners of rotated images are cropped away.

When an image is rotated, using imrotate() for example, blank triangles appear in the corners of the output unless it is reduced in size. The triangles are the parts of the output image that

gui has been used to represent an image and rotate this image about the three axises in three dimens

gui has been used to represent an image and rotate this image about the three axises in three dimensional space using sliders.

Detection of circular objects in a given image using Fisher criterion

The zip file contains the implementation and usage examples of algorithm from [1] and [2] for detecting circular objects in a given image. The algorithm in [2], called separability filter, computes

3D rotation of 3D image

This function rotates a 3D image based on angle and axis to rotate a round to.interpolation methods include: nearest neighbor and linear interpolation. The rest of the image that is out of bound is

Interactive GUI for Image Processing, Analysis and Vizualisation, similar to ImageJ

ImageM integrates into a GUI several algorithms for interactive image processing and analysis. It allows to load images, apply filtering and/or segmentation, and run basic analyses. Interface is

A simple function for correcting the rotated images.

This function gets a rotated image and corrects its clockwise or counterclockwise rotation. It can be useful for enhancing the output images of desktop scanners.

This function takes an image, scales it and rotates it by theta (radian, rigid motion)

This function takes an image or matrix and rotate it by theta (radian, rigid motion)The image could also be enlarged or shrinked by an optional scaling factor img: input image (or or a 2D

MIB is a package for segmentation of multi-dimensional (2D-4D) microscopy datasets

herehttp://se.mathworks.com/matlabcentral/fileexchange/63402-microscopy-image-browser-2--mib2-With MIB you can analyse, segment and visualize various multidimensional datasets from both light and electron microscopy. See more further details and tutorials on MIB website

Filter emphasising the shape of the kernel (eg straight line) within an image

The Rotating Kernel Transformation convolves an image with several orientations of a kernel.For a line-kernel, straight lines are emphasized. For larger kernels, it becomes computationally

mrTools - matlab based tools for fMRI

Color constancy toolbox

Fits hidden Markov models to contourlet transform and use these for classification of images

Image rotation performed by 3 separable skews

This MATLAB code allows you to perform gender recognition from face images for a given dataset.

Gender recognition from face images is an important application in the fields of security, retail advertising and marketing. We propose a novel descriptor based on COSFIRE filters for gender

Collection and a development kit of Matlab mex functions for OpenCV library

Cell registration across multiple sessions in large-scale calcium imaging data

This package is an implementation of a probabilistic approach for tracking the same neurons (cell registration) across multiple sessions in Ca2+ imaging data. The package includes a GUI that supports

Allows rotation of matrix or greyscale image. Option to resize or maintain original dimensions of image.

Simple rotation of matrices or greyscale images.rotate_image_regrid rotates the image and resizes its dimensions as necessary to incorporate all of the original image into the rotated

IMAGEROTATION able to rotate an image, based on affine transformation matrix.

IMAGEROTATION able to rotate an image. You can an image by any angle in degree.This is a simple implementation of matlab IMROTATE and using affine transformation matrix.Nothing new about this code.

Estimates the sound power level and sound energy level in an approximate free-field using an ellipsoidal measurement surface.

Open source version of the original ISET, used as the basis for ISETBIO

Automatically segments 2D retinal vessels using N4 fields, CNN, and probabilistic vessel tracking

Automatically segments 2D retinal vessels by:-Sampling retinal image windows with their corresponding manual segmentations-Training the image windows to a PCA-reduced vector of the manual

PLEX Elite 9000 retinal B-scan segmentation and ETDRS grid

), top and bottom retinal pigment epithelium (RPE), and Bruch’s membrane (BM) is provided. Two image segmentation algorithms are featured. The first consists of a cross-sectional pre-segmentation using

segment color image robust to texture

colorImgSeg('images\sflowg.jpg', 12, 5, 10,0.35, 0.02, 0.88);To run the code, you have to firstly generate the necessary dlls in"local_min", "Jmap", "seededRegionGrowing" and "Region_merging"in each folder, run the corresponding

Region-based Fitting of Overlapping Ellipses and its Application to Cells Segmentation

the methodWe will appreciate if you cite our paper [1] in your work: [1] C. Panagiotakis and A.A. Argyros, "Region-based Fitting of Overlapping Ellipses and its Application to Cells Segmentation", Image

The quantitative results are computed based on the NIH3T3 datasets provided by the Murphy Lab at Carnegie Mellon University

The quantitative results are computed based on the U2OS nuclei datasets provided by the Murphy Lab at Carnegie Mellon University

The quantitative results are computed based on the synthetic nuclei BBBC005 datasets.

Six Cell segmentation methods are compared. The quantitative results are computed based on the synthetic nuclei BBBC005 datasets. 275 images with most nuclei are selected from BBBC005.

The quantitative results are computed based on the U2OS nuclei BBBC039 datasets.

Six Cell segmentation methods are compared. The quantitative results are computed based on the U2OS nuclei BBBC039 datasets. There are a Total of 200 images in BBBC039 and 3 images are excluded due

An enhanced version of matlab's built-in function 'imcrop', supporting rotated rectangles

Image Rotated Rectangle CropAn enhanced version of matlab's built-in function imcrop, supporting rotated rectangle crop.ExamplesrcImg = imread('peppers.png');cropRect = [260,200,80,200,pi/4

extract a rotated patch from image

Extract a rotated patch from image. Can be used in dictionary learning and other applications.

Rotates, scales, and translates an image passed to it.

The 'im_rst.m' function rotates, scales, and translates an image according to the scale, rotation, and translation parameters passed to it.'function rst = im_rst(I1, scale, angle, x_shift, y_shift)I1

Simple template match with rotation (template crosscorrelation to the edge image of the input image

Simple template match with rotationFind an object that fit Template in image.The orientation of the object in the image does not have to be the same as that as the template. The template is matched

Rotate binary (logical) edge image (I) in (Ang) degrees. Maintain line connectivity.

Rotate binary edge image (I) in (Ang) degrees The rotated output image will also also be a binary edge image.The connectivity/topology of all edges/curves in the input image (I) will be maintained

Read and rotate transparent or intransparent image. Output is the rotated image as RGB data and the transparency data alpha. No toolbox!

Rotateim.m This function reads an (transparent) image and rotates it by theta degrees. FeaturesNo toolbox requiredRead and rotate transparent/intransparent imageScale image size up/downCrop

Rotates and Resizes given image

This is just a basic code that rotates and resizes given picture. Algorithms used are directly derived from the lecture notes of Richard Alan Peters II.

imrotate_3D rotates image volume A by angle degrees in a counterclockwise direction around its cen

imrotate_3D rotates image volume A by angle degrees in a counterclockwise direction around its center point in the x,y-plane

performing rotation of image using imtransform

first find the tform of the image and then find the rotation with particular angle

An Image class for that encapsulates a multidimensional data array together with meta-data and facilitate image processing and visualization

This package consists in the Image class, that encapsulates a multidimensional data array together with various meta-data used to interpret the data (e.g. spatial calibration).The Image class can

Rotation invariant image moments as described in Flusser (2000) On the independence of rotation moment invariants.

A collection of functions for image processing and analysis that complement and extend the Image Processing Toolbox

MatImage is an image processing library for Matlab. It is build as a complement of the Image Processing Toolbox. The matImage library is divided into several modules:* imFilters - Image filtering

Display the result of two-parameter functions as scrollable, rotatable and zoomable image.

This graphical user interface allows to explore the result of two-parameter functions as an interactive image, which allows scrolling and rotating as well as zooming in and out of the parameter

The code performs translation on the image and rotation as per user entered specification.

The code is self-explanatory.Using user entered x and y co-ordinates one can linearly translate the image in a given region.Similarly,using the user entered angle in degrees, one can rotate the image

The program performs the rotation of a series of raster images in a chosen mode and saves the resulting images in a designated directory

rotates all the images at the same angle, defined by user. Mode 2 is for the case when the filmed object is at rotation with a constant rate: so, user has to provide the number of frames per revolution, and

Three simple functions for resampling, rotating and scaling an image

There are three functions entitled imres, imrot and imsca.- imres is a function for resampling an image to a new image.- imrot is a function for rotating an image by an arbitrary angle (imres is

image is rotated by some degree and its Spectrum is observed with respect to original image spectrum

Rotation property tells that if the image in the spatial domain is rotated by some amount then its spectrum which is obtained by DFT is also rotated by same amount. This is being showed with the

MATLAB Image Manipulation Toolbox

(GUI)imnoiseFB --add selected noise type to an imageimrectify --interactively devectorize an image of unknown geometryimresizeFB --resize an imageimrotateFB --rotate an imageimsharpenFB --perform an unsharp

Stitches panorama image given the rotation (R) and camera intrinsics (K) matrices for each images after the bundle adjustment procedure.

# Automatic panorama stitching given the Rotation (*R*) and Camera Intrinsics (*K*) matrices[![View Image stitching given rotation/camera intrinsic matrices on File

Exercises to help learn about image registration

Exercises developed for undergraduate students with no prior knowledge to learn about image registration. Simple exercises using rigid registration of images of crosses and also brains (mono- and

Facilitates assisted or automatic reorientation and automatic de-rotation of 3D image stacks

capture these as 3D logical masks (code is not provided for this step), and 3) de-rotate the completed logical masks back to the original reference frame so that they align with the original image. Through

This app allows to crop rotate and plot data coming from image or movie

You can upload a mat file with an image or cube naming T or import one from the worksapce then you can crop it, rotate and plot timign graph. Finally the transformed images or cubes can be exported

Software for acquisition and manipulation of electrophysiological data from neurons.

GUI for the characterization of acoustofluidic devices