'Spectral imaging' presentation slideshows

Group Meeting

Group Meeting. July 21, 2005. Proposed Topics. Overview of projects Future directions for the lab Strategies for success at the bench When to submit Nitty-gritty of running an academic lab. Proposed Topics. Overview of projects Future directions for the lab

525 views • 42 slides

Spectral Imaging of the Retina

Spectral Imaging of the Retina. Andy R.Harvey, Ied Abboud, Alistair Gorman, Andy I.McNaught * School of Engineering & Physical Sciences, Heriot Watt University, Edinburgh, UK *Eye Unit, Cheltenham General Hospital, Cheltenham, UK. Outline. What is spectral imaging?

717 views • 35 slides

408 views • 29 slides

302 views • 29 slides

HETG Spectral-imaging of SN1987A

HETG Spectral-imaging of SN1987A. Dan Dewey, MIT Kavli Inst. with Svet Zhekov (SRI Sophia & U Colorado), C.R. Canizares (MKI), R. McCray (U Colorado) Eight Years of Science with Chandra, 23 October 2007. Overview. Introduction to SN 1987A HETG Observations & Spectral results

411 views • 25 slides

Multiphoton and Spectral Imaging

441 views • 23 slides

ICSO 2006 Conference on Space Optics ESTEC, Noordwijk, 29/06/2006

388 views • 21 slides

Spectral Imaging In a Snapshot

387 views • 21 slides

Overhead Conductors

653 views • 17 slides

Hyper Spectral Imaging Systems Market

Global Hyper spectral Imaging Systems Market Report, published by Variant Market Research, forecast that the global market is expected to reach $18.9 billion by 2024; growing at a CAGR of 8.4% from 2016 to 2024.

247 views • 16 slides

Global Hyper Spectral Imaging Systems (HSI)Market is to reach $18.9 Billion by 2024

Global Hyper spectral Imaging Systems Market Report, published by Variant Market Research, forecast that the global market is expected to reach $18.9 billion by 2024; growing at a CAGR of 8.4% from 2016 to 2024.The hyper spectral imaging system (HSI) involves collection and processing of data which is collected across an electromagnetic spectrum.

426 views • 13 slides

global hyper spectral imaging system

The hyper spectral imaging system (HSI) involves collection and processing of data which is collected across an electromagnetic spectrum. The hyper spectral imaging system enables obtaining spectrum for every pixel in a particular image or a sequence of images.

163 views • 12 slides

Spectral Color and Image Analysis

Spectral Color and Image Analysis. Summer School at the University of Koblenz July 31 - August 1, 2002. Markku Hauta-Kasari. University of Joensuu Color Group FINLAND. Contents. Self-introduction University of Joensuu Department of Computer Science University of Joensuu Color group

230 views • 8 slides

Fraunhofer Wilhelm Klauditz Institute for Wood Research (WKI)

Fraunhofer Wilhelm Klauditz Institute for Wood Research (WKI). Bienroder Weg 54 E D-38108 Braunschweig Germany www.wki.fraunhofer.de. Contact: Dr. Jochen Aderhold Phone: +49 531 2155 424 Fax: +49 531 2155 200 Email: jochen.aderhold@wki.fraunhofer,de. Previous FP 6 experience:

232 views • 5 slides

global hyper spectral imaging system (HSI)

The hyper spectral imaging system (HSI) involves collection and processing of data which is collected across an electromagnetic spectrum. The hyper spectral imaging system enables obtaining spectrum for every pixel in a particular image or a sequence of images.

93 views • 4 slides

Hyperspectral Imaging System Market Size and Share to See Modest Growth Through 2025

53 views • 4 slides

Anomaly Detection in Fruits using Hyperspectral Images

One of the biggest problems in hyper spectral image analysis is the wavelength selection because of the immense amount of hypercube data. In this paper, we introduce an approach to find out the optimal wavelength selection in predicting the quality of the fruit. Hyper spectral imaging was built with spectral region of 400nm to 1000nm for fruit defect detection. For image acquisition, we used fluorescent light as the light source. Analysis was performed in visible region, which had spectral from 413nm to 642nm it was done because of the low reflectance spectrum found in fluorescent light sources. The captured image in this experiment demonstrates irregular illumination that means half of the fruit has brighter area. Analysis of the hyper spectral image was done in order to select diverse wavelengths that could possibly be used in multispectral imaging system. Selected wavelengths were used to create a separate image and each image went through thresholding. Experiment shows a multispectral imaging system which is able to detect defects in fruits by selecting most contributing wavelengths from the hyper spectral image. Algorithm presented in this paper could be improved with morphology operations so that we could get the actual size of the defect. Sandip Kumar | Parth Kapil | Yatika Bhardwaj | Uday Shankar Acharya | Charu Gupta "Anomaly Detection in Fruits using Hyper Spectral Images" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23753.pdf Paper URL: https://www.ijtsrd.com/computer-science/artificial-intelligence/23753/anomaly-detection-in-fruits-using-hyper-spectral-images/sandip-kumar

57 views • 4 slides

Hyperspectral Imaging Market Granular View Of Industry From Various End-Use Segments

Increasing deployment of hyperspectral imaging in healthcare sector creates a highly conducive environment for growth of the hyperspectral imaging market in the near future.

41 views • 3 slides