Search Results for "properties"

...With SIA, users can calibrate and make single and continuous measurements of length, angle, area and the average color values within a region. Future releases will allow users to count and track objects in videos, and calculate objects' kinematic properties (e.g. position, velocity, and acceleration). SIA Reference: I. Bentley, J. Ralston, S. Garman, O. Hershberger, C.M. Probst, and C. Washer. Introducing the Scientific Image Analysis Application: A Free and User Friendly Program for Extracting Bioinformatics From Digital Images. 2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC), pp. 0778-0787

...Traditional surface defect detection methods based on machine vision often use conventional image processing algorithms or artificially designed features plus classifiers. Generally speaking, imaging schemes are usually designed by using the different properties of the inspected surface or defects. A reasonable imaging scheme helps to obtain images with uniform illumination and clearly reflect the surface defects of the object. In recent years, many defect detection methods based on deep learning have also been widely used in various industrial scenarios.

MatQuantify, written in MATLAB, detects both large-scale and subtle structural changes in the spindle or DNA and can be used to statistically compare the effects of different treatments. MatQuantify can quantify various physical properties extracted from fluorescence microscopy images, such as area, lengths of various components, perimeter, eccentricity, fractal dimension, satellite objects and orientation. It can also measure textual properties including entropy, intensities and the standard deviation of intensities. Using MatQuantify, we studied the effect of knocking down the protein clathrin heavy chain (CHC) on the mitotic spindle. ...

...Developed for measuring self-diffusivity and effective surface exchange coefficient of ion conducting materials. Requires MatLab image processing toolbox If you use this tool for you research, please cite my PhD thesis: Cooper, S. J. Quantifying the Transport Properties of Solid Oxide Fuel Cell Electrodes. (Imperial College London, 2015). @phdthesis{SJCooper2015, author = {Cooper, S. J.}, number = {November}, publisher = {Imperial College London}, school = {Imperial College London}, title = {{Quantifying the Transport Properties of Solid Oxide Fuel Cell Electrodes}}, year = {2015} }

...Using a range of image processing techniques such as local thresholding and nearest neighbor identification, RootAnalyzer segments the plant root from the image's background, classifies and characterizes the cortex, stele, endodermis and metaxylem, and subsequently produces statistics about the morphological properties of the root cells and tissues.