Abstract: This study introduces a method for material classification using transient histograms obtained via a single-photon avalanche diode (SPAD) sensor. Temporal resolution in optical sensing plays ...

No matter what type(s) of photography you like to pursue, mastering exposure is key to creating successful images. While it can be tempting to use your camera's screen to judge exposure, that display ...

Getting input from users is one of the first skills every Python programmer learns. Whether you’re building a console app, validating numeric data, or collecting values in a GUI, Python’s input() ...

Stroke is the second leading cause of death globally. Ischemic stroke, strongly linked to atherosclerotic plaques, requires accurate plaque and vessel wall segmentation and quantification for ...

Abstract: This paper proposed an auto-adaptive threshold method of two-dimensional (2-D) histogram based on multi-resolution analysis (MRA), decreasing the calculation complexity of 2-D histogram ...

Instance segmentation has been the most challenging task in the field of computer vision, and its techniques are widely used in the fields of intelligent driving, intelligent medical imaging, remote ...

Objectives: Oral cavity-derived cancer pathological images (OPI) are crucial for diagnosing oral squamous cell carcinoma (OSCC), but existing deep learning methods for OPI segmentation rely heavily on ...

I am trying to use this #4361 feature and not being able to get the desired output. a = meter.create_histogram('a_latency', explicit_bucket_boundaries_advisory=[0.0, 1.0, 2.0]) a.record(99.9) I am ...