A two-step algorithm consisting of image segmentation and autocorrelation of the resulting binary masks enables calculation of correlograms. by Ronald Springer (5690228)

(a) Segment Image without Enhancement (Green lines indicates the missing Vessels (b) Segment Image with Enhancement. by Hesham Abdushkour (16617908)

Analysis of segmentation method’s performance. by Hesham Abdushkour (16617908)

“…This research work contains the new image processing techniques such as enhancement filters, coherence filters and binary thresholding techniques to handle the different color retinal fundus image problems to achieve a vessel image that is well-segmented, and the proposed algorithm has improved performance over existing work. …”

Segmentation model performance assessment. by Hesham Abdushkour (16617908)

“…This research work contains the new image processing techniques such as enhancement filters, coherence filters and binary thresholding techniques to handle the different color retinal fundus image problems to achieve a vessel image that is well-segmented, and the proposed algorithm has improved performance over existing work. …”

(a-topleft) The original image in RGN color space, (b-topright) the hard segmentation output of the GFkuts algorithm after 5 iterations, (c-bottomleft) the soft segmentation result of the GF refinement, (d-bottomright) and the adaptive thresholding output to create a binary mask of the canopy. by Julian D. Colorado (9461385)

“…<p>(a-topleft) The original image in RGN color space, (b-topright) the hard segmentation output of the GFkuts algorithm after 5 iterations, (c-bottomleft) the soft segmentation result of the GF refinement, (d-bottomright) and the adaptive thresholding output to create a binary mask of the canopy.…”

Displays the various images obtained during the segmentation process. by Hesham Abdushkour (16617908)

An example of a histogram of the normalized intensity of an OCT image. by Rinrada Tanthanathewin (18611171)

Overview of the segmentation algorithm. by Michael C. Robitaille (11949174)

“…<p>A) Two consecutive image frames are used to calculate the optical flow via the Farnebäck algorithm, which utilizes a multi-level resolution pyramid to estimate intensity displacements between the two frames. …”

Impact of 2nd order multi-dimensional LoG Detector on segmentation of retinal vessels. by Hesham Abdushkour (16617908)

Precision values output from POSEA evaluation of simulated binary images (Fig 2) that are half-white and half-black either horizontally divided (Image 1, Image 3) or vertically div... by Nianchao Wang (14856957)

tUbenet Foundation Model Weights by Natalie Holroyd (7099391)

ILM (pink line) and RPE (green line) layers in a normal OCT image. by Rinrada Tanthanathewin (18611171)

The main workflow of the proposed algorithm. by Xin Li (51274)

An example of an OCT image of a DR case (left) and illustration of relevant parts (right): EX-AN blobs (yellow blobs) in the area of interest (a blue region), the ILM (a red line)... by Rinrada Tanthanathewin (18611171)

Output of the 2nd order multi-dimensional Gaussian derivative identifier, where (a) denotes the primary output with the maximum value, and (b) represents the normalized factor appl... by Hesham Abdushkour (16617908)

Oriented Diffusion Output, where (a) represents the retinal image prior to applying the Coherent Anisotropic Diffusion filtering operation, and (b) represents the proposed scheme o... by Hesham Abdushkour (16617908)

Random forest binary classification of the colorized Corona image for the RSK region, Morocco (1972). by Safia Loulad (16913691)

Demonstration of (a) Earphone image and (b) Otsu binarization result. by JianWu Long (10731271)

Elsafty_Code_1; Segment & Localize Using a Pen by Ahmed Elsafty (16943883)

“…<p dir="ltr">This semi-automated algorithm for image segmentation relies on manually tracing the borders of each cell using a digital pen tool on a big touchscreen display showing field images/patches. …”

Elsafty_Code_1; segment & localize using a pen by Ahmed Elsafty (16943883)

“…<p dir="ltr">This semi-automated algorithm for image segmentation relies on manually tracing the borders of each cell using a digital pen tool on a big touchscreen display showing field images/patches. …”