Machine-Vision-Enabled Salt Dissolution Analysis
نویسندگان
چکیده
منابع مشابه
POTASSIUM-ARGON ANALYSIS OF DOMAL SALT BY STEPWISE DISSOLUTION
Potassium-argon analysis by stqwise dissolution provides a way to measure in detail the distribution of argon isotopes and potassium in rock salt. The method can be used for salt that contains only trace amounts of potassium, because the potassium and argon in detrital silicates within the salt are not released during the dissolution. Water may be used as the solvent when relatively large a...
متن کاملpotassium-argon analysis of domal salt by stepwise dissolution
potassium-argon analysis by stqwise dissolution provides a way to measure in detail the distribution of argon isotopes and potassium in rock salt. the method can be used for salt that contains only trace amounts of potassium, because the potassium and argon in detrital silicates within the salt are not released during the dissolution. water may be used as the solvent when relatively large amoun...
متن کاملSeismic Time Section Analysis Using Machine Vision
In this paper we introduce a three stage approach for extracting events from a seismic time section. The approach incorporates recent, techniques from computer vision such as deformable templates and multiple hypothesis tracking, and also takes advantage of constraints arising from the physics of seismic reflectors. First, a 2D local matched fdtering scheme is used to reduce the time section to...
متن کاملMachine Vision based Vehicular Cabin Activity Analysis
Vision for intelligent vehicles is a growing area of research [6] for many practical reasons including the relatively inexpensive nature of camera sensing units and even more the non-contact and non-intrusive manner of observation. The latter is of critical importance when observing occupants inside the vehicle cockpit because no sensing unit should impede the primary task of driving. Conventio...
متن کاملWatercolour Identification Based on Machine Vision Analysis
22 In this paper we present a novel image-based approach for characterizing and classifying blue and green pigments as used in paintings based on their optical properties. Our aim is to develop a non-destructive method that can characterize and classify watercolours through a statistical approach which recognizes both the probabilistic nature of the optical watercolour information and the form ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Analytical Chemistry
سال: 2020
ISSN: 0003-2700,1520-6882
DOI: 10.1021/acs.analchem.0c01068