The average of the quantitative metric <i>J</i> for three colour spaces of RGB, HSI and CIEL*a*b* for the pair of segmentation method. حسب Gita Khalili Moghaddam (4594816)

الموضوعات:

Smartphone-based quantitative measurements on holographic sensors - Fig 6 حسب Gita Khalili Moghaddam (4594816)

الموضوعات:

An Image Processing Algorithm for Facile and Reproducible Quantification of Vomocytosis حسب Neeraj Senthil (14804077)

الموضوعات:

River plots before (A) and after (B) post-processing with the hidden Markov model applied for the entire study area and Bar plots of the gross (grey) and net (colour) change in eac... حسب Keletso Moilwe (15345352)

الموضوعات:

Combined HMM post-processing analyses of river plots and bar plots of the gross (grey) and net (colour) change in each land cover class (i.e. NVF, Aliens, Indigenous Forest, Grassl... حسب Glenn Moncrieff (3210312)

الموضوعات:

Automated progression of valve actuation and flow. حسب Sertan Kutal Gokce (5661556)

الموضوعات:

Imaging of regrowing axons of interest 24 hours after surgery. حسب Sertan Kutal Gokce (5661556)

الموضوعات:

Flow direction in T-shaped staging/trapping area and 3D interconnects. حسب Sertan Kutal Gokce (5661556)

الموضوعات:

A Fully Automated Microfluidic Femtosecond Laser Axotomy Platform for Nerve Regeneration Studies in <i>C. elegans</i> حسب Sertan Kutal Gokce (5661556)

الموضوعات:

Axonal reconnection results. حسب Sertan Kutal Gokce (5661556)

الموضوعات:

Axotomy chip overview. حسب Sertan Kutal Gokce (5661556)

الموضوعات:

Success rate and timing performance of the automation. حسب Sertan Kutal Gokce (5661556)

الموضوعات:

The circular object detection methodology to detect a cell body in the field of view (Step 2). حسب Sertan Kutal Gokce (5661556)

الموضوعات:

Image processing steps to verify the neuron of interest (Step 3), locate the target on the desired axon, and perform laser axotomy (Step 4). حسب Sertan Kutal Gokce (5661556)

الموضوعات:

Image processing methodology for identifying the worm location within the trapping area (Step 1). حسب Sertan Kutal Gokce (5661556)

الموضوعات:

Results of benchmark data set <i>r</i> = 1. حسب Arif ul Maula Khan (772760)

الموضوعات:

Benchmark data sets. حسب Arif ul Maula Khan (772760)

الموضوعات:

A Benchmark Data Set to Evaluate the Illumination Robustness of Image Processing Algorithms for Object Segmentation and Classification حسب Arif ul Maula Khan (772760)

الموضوعات:

Exemplary pipeline for the segmentation of benchmark images. حسب Arif ul Maula Khan (772760)

الموضوعات:

Representation of ground truth objects using color shading and numbers as labels. حسب Arif ul Maula Khan (772760)

الموضوعات: