DITRWSL D13125710 : Related Article

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Short-Wave Near-Infrared Spectroscopy of Milk Powder: Quantitative Analysis of Fat Content.

Image and Signal Processing, 2008. CISP'08. Congress on. Vol. 2. IEEE, 2008.
Wu, Di, et al.

A machine vision system for grading lentils

A machine vision system for color grading of lentils was developed using a flatbed scanner as the image-gathering device. Grain samples belonging to different grades of large green lentils were scanned and analyzed over a two-crop season period. Image color, color distribution, and textural features were found to begood indicators of lentil grade. Linear discriminant analysis, k-nearest neighbors, and neural network based classifiers performed equally well in predicting sample grade. An online classification system was developed with a neural classifier that achieved an overall accuracy (agreement with the grain inspectors) of more than 90%.

Keywords: lentils, grading, inspection, machine vision, color, image analysis, image classification, flatbed scanner

Publication Number GRL# 809. Shahin, M.A. and Symons, S.J. 2001.

http://www.engr.usask.ca/societies/csae/protectedpapers/c0019.pdf

Full spectral imaging: a revisited approach to remote sensing

Current optical remote sensing instrument technology allows the acquisition and digitization of all of the reflected energy (light) across the full spectral range of interest. The current method for acquiring, transmitting, and processing this data is still based on the "multi-band" approach that has been used for the past thirty years. This approach was required due to limitations imposed by early instrument technology. This paper will present generalized concepts for acquiring, pre-processing, transmitting, and extracting information from full-spectral, remotely sensed data. The goal of the paper is to propose methods for changing from the current "bytes-per-band" approach to the "spectral curve" approach. The paper will describe how the Full Spectral Imaging (FSI) approach has the potential to greatly simplify instrument characterization and calibration and to significantly reduce data transmission and storage requirements. I will suggest how these improvements may be accomplished with no loss of remotely sensed information.

http://dx.doi.org/10.1117/12.510485

The spectral image processing system (SIPS)—interactive visualization and analysis of imaging spectrometer data

The Center for the Study of Earth from Space (CSES) at the University of Colorado, Boulder, has developed a prototype interactive software system called the Spectral Image Processing System (SIPS) using IDL (the Interactive Data Language) on UNIX-based workstations. SIPS is designed to take advantage of the combination of high spectral resolution and spatial data presentation unique to imaging spectrometers. It streamlines analysis of these data by allowing scientists to rapidly interact with entire datasets. SIPS provides visualization tools for rapid exploratory analysis and numerical tools for quantitative modeling. The user interface is X-Windows-based, user friendly, and provides “point and click” operation. SIPS is being used for multidisciplinary research concentrating on use of physically based analysis methods to enhance scientific results from imaging spectrometer data. The objective of this continuing effort is to develop operational techniques for quantitative analysis of imaging spectrometer data and to make them available to the scientific community prior to the launch of imaging spectrometer satellite systems such as the Earth Observing System (EOS) High Resolution Imaging Spectrometer (HIRIS).

Link to Journal:

Colorimeter Circuit

A colorimeter comprising a light source, an operational amplifier, a reference photoconductive cell connected between the input and output of the amplifier and a sample photoconductive cell connected to the input of the amplifier. The amplifier provides an output signal which is a function of the ratio of the amount of light falling on the reference photoconductive cell to the amount of light falling on the sample photoconductive cell. The output of the amplifier is connected to a suitable measuring device such as a meter or recorder which provides a measurement of the output signal.

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Image Colorimeter

A colorimeter includes an objective for focusing an object image on a first half of a viewing screen. A standard light reference beam is projected onto the second half of the screen. A moving shutter alternately blocks the first half then the second half of the screen. A light detector is responsive to the alternating images on the screen as they pass through color filters. The detector output may provide

Specific wavelengh colorimeter

A self contained, specific wavelength, single beam colorimeter for direct spectrophotometric measurement of the concentration of a given solute in a test sample. An electrical circuit employing a photoconductive cell converts the optical output into a linear, directly readable meter output. The colorimeter is simple to operate and is adapted for use in zero gravity conditions. In a specific application, the colorimeter is designed to analyze the concentration of iodine (I.sub.2) in potable water carried aboard a space vehicle such as the IVB stage of Skylab.

http://search.proquest.com/ante/docview/35170404/1414B053D333660CFC/10?accountid=10594#

Spectrophotometric Analysis of a Two-Component System with Overlapping Spectra by Walter Rohr

A number of methods have been developed to determine the composition of a binary
mixture spectrophotometrically. Most of these are directed at mixtures where one
component can be isolated from the other or they require a Beer’s law experiment to
measure the molar absorptivity of each of the substances in the mixture. However,
Blanco 1, et. al. described a method of resolving mixtures with overlapping spectra, called
Multi-Wavelength Linear Regression Analysis or MLRA, without determining molar
absorptivities or complicated mathematics. Using Blanco’s method, the composition of a
binary mixture with overlapping spectra can be resolved with only three measurements,
the absorbance of a standard solution for each component, and the unknown mixture
itself. Vernier’s Logger Pro software is ideally suited for this experiment with the ease at
which one can manipulate data and its ability to prepare a graph even when the data are
out of order

http://www.vernier.com/files/innovate/spectralanalysis3.pdf

Nanometer-Scale Sizing Accuracy of Particle Suspensions on an Unmodified Cell Phone Using Elastic Light Scattering

Mobile technologies have been advancing at a rapid pace, with current mobile platforms' computing power approaching that of desktop machines. These advances in device computing have come alongside progress in mobile imaging technology, with current cell phone cameras using sophisticated back-thinned CMOS sensors coupled to high quality optics with relatively high numerical apertures. This progress has led several groups to explore the possibility of performing medical diagnostics, such as microscopic imaging [1]–[3], cell counting [4], and spectroscopy [2], using mobile devices. We present in this paper an attachment to a cellular phone that allows for accurate sizing of particles using elastic light scattering.

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Cell-Phone-Based Platform for Biomedical Device Development and Education Applications

in this paper we report the development of two attachments to a commercial cell phone that transform the phone's integrated lens and image sensor into a 350× microscope and visible-light spectrometer. The microscope is capable of transmission and polarized microscopy modes and is shown to have 1.5 micron resolution and a usable field-of-view of 150×150 with no image processing, and approximately 350×350 when post-processing is applied. The spectrometer has a 300 nm bandwidth with a limiting spectral resolution of close to 5 nm. We show applications of the devices to medically relevant problems. In the case of the microscope, we image both stained and unstained blood-smears showing the ability to acquire images of similar quality to commercial microscope platforms, thus allowing diagnosis of clinical pathologies. With the spectrometer we demonstrate acquisition of a white-light transmission spectrum through diffuse tissue as well as the acquisition of a fluorescence spectrum. We also envision the devices to have immediate relevance in the educational field.

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On the Signal Features Analysis of a Pulse Induction Metal Detector Prototype

This paper describes two algorithms proposed for signal analysis in a pulse induction metal detector prototype. The first algorithm is based on combining Principal Component Analysis and Continuous Wavelet Transformation in order to determine metallic object position approaches to the detector coils, and the second algorithm is based on signal filtering in order to characterize object size. These algorithms have three functions; first, extracting time intervals in which the detector response gives information about an object approaching; second, the object position related to detector coils; third, information related to object size. The techniques used are based on time-frequency domains for raw signals acquired at the amplifier output in the prototype.

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Wi-Vi system uses Wi-Fi to see through walls

Researchers at MIT's Computer Science and Artificial Intelligence Laboratory have developed what could become low-cost, X-ray vision. The system, known as "Wi-Vi," is based on a concept similar to radar and sonar imaging, but rather than using high-power signals, this tech uses reflected Wi-Fi signals to track the movement of people behind walls and closed doors.
Journal
http://people.csail.mit.edu/fadel/papers/wivi-paper.pdf

PETALS: a visual interface for landmine detection

Post-conflict landmines have serious humanitarian repercus-sions: landmines cost lives, limbs and land. The primary method used to locate these buried devices relies on the inherently dangerous and difficult task of a human listening to audio feedback from a metal detector. Researchers have previously hypothesized that expert operators respond to these challenges by building mental patterns with metal detectors through the identification of a spatially distributed metallic field, whose 2-dimensional geometry is dependent on the type of buried object. This paper presents a novel interface Pattern Enhancement Tool for Assisting Landmine Sensing

http://iis.seas.harvard.edu/projects/petals/files/uistPaper2010.pdf