New approaches and computer codes (A&CC) for automatic processing, analysis and recognition of images are offered. The A&CC are based on presentation of object image as a collection of pixels of various colours and consecutive automatic painting of distinguished itself parts of the image. The A&CC have technical objectives centred on such direction as: 1) image processing, 2) image feature extraction, 3) image analysis and some others in any consistency and combination. The A&CC allows to obtain various geometrical and statistical parameters of object image and its parts. Additional possibilities of the A&CC usage deal with a usage of artificial neural networks technologies. We believe that A&CC can be used at creation of the systems of testing and control in a various field of industry and military applications (airborne imaging systems, tracking of moving objects), in medical diagnostics, at creation of new software for CCD, at industrial vision and creation of decision-making system, etc. The opportunities of the A&CC are tested at image analysis of model fires and plumes of the sprayed fluid, ensembles of particles, at a decoding of interferometric images, for digitization of paper diagrams of electrical signals, for recognition of the text, for elimination of a noise of the images, for filtration of the image, for analysis of the astronomical images and air photography, at detection of objects.
We describe an application of artificial neural networks (ANN) for solving of inverse and direct problems of optics. Using the ANN we calculate local and integral characteristics of object by means of incomplete set of data that characterize optical images. Possibilities of usage the only one value of a function of signal intensity distributionn in a plane of a registration for full determination of distribution of local characteristics in an object are shown. It is very important for optical fiber sensors, smart sensors and MEMS. Examples of ANN usage for a case of object with a cylindrical symmetry in a field of interferometry are presented. Results obtained show that determination of object local and integral characteristics can be perform very much simpler than by means of standard procedures and numerical approaches for signal processing, reduction and analysis. The ANN can allow also to solve number of tasks that could not be solved by means of usual approaches. In prospects, this method can be used for creation of automated systems for diagnostics, testing and control in various fields of scientific and applied research as well as in industry.
A new approaches and computer codes (A&CC) for automatic analysis of images are offered. The A&CC are based on
presentation of object image as a collection of pixels of various colours and consecutive painting of distinguished itself
parts of the image in unusual manner. The A&CC have technical objectives centred on such direction as: 1) image
processing (filtration, elimination of noise, segmentation), 2) image feature extraction, 3) image analysis, 4) recognition
of image and object and some others. Additional possibilities of the A&CC dealing with usage of artificial neural
networks technologies. The A&CC allows to obtain various geometrical and statistical parameters of object image and
object. Among them: coordinates and maximum values of cross sizes of every individual part of object image, its square
and perimeter, histogram of individual parts with respect to size as well as with respect to type, to form, etc. The
opportunities of the A&CC are tested at image analysis of model fires and plumes of the sprayed fluid, ensembles of
particles, at a decoding of interferometric images, for elimination of a noise of the images, for filtration of the image, at
detection of objects.
A new unconventional interferometric technique that may be termed 'the reference process technique' is proposed for measuring the characteristics of complex heat transfer. It does not involve mathematical calculations almost. As example of its application the result of measurement of heat transfer characteristics form compact high power thermal energy source is presented.
A result of experimental investigation for ignition process of transparent solid propellant models are presented. The investigations have been made by holographic interferometric technique in terms of ignition process visualization in the condensed and the gaseous phases of burning samples as well as qualitative analysis. This technique has not been used earlier by other investigators in the solid ignition process research, however examples of partly analogously investigations are known.
A new approach to the interferometric and other optical techniques in combustion research is under discussion. It relies on the direct employment of the property of integrality of the techniques. This approach makes it possible to assess characteristics of the burning wave which describe the gaseous phase of burning (or combustion process as a whole) taken in its entirety, and those averaged over the gaseous phase mass, its volume or sections of the gaseous phase flow. They are evaluated without solving inverse problems of optics, which have to be solved with a number of current optical methods applied in a conventional manner to the quantitative studies of physical processes. As far as interferometry is concerned, the evolution of the approach has eventually enabled the solving of problems in a wide variety of tasks of the combustion, gas dynamic and heat transfer research, which are otherwise difficult to solve experimentally. Also the paper deals with a new approach to the traditional problem of quantitative interferometry, i.e. to the definition of flame temperature and density fields. In this approach any change in the flame gas mixture composition is taken into consideration for a variety of gaseous and condensed systems based on general principles.
A technique for determining the total mechanical impulse and the reactive force of an incipient non-stationary gas flow, on evidence derived from interference cine films, allows a reconstructive tomographic problem of reconstructing velocity and pressure fields in such objects to be formulated. This concept allows the distribution of velocity and pressure fields in such flows to be determined. The potentialities of the concept have been taken advantage of in estimating velocity and pressure fields arising on ignition of a premixed gas by a heated point body.
An approach to determine the basic dynamic characteristics of a nonstationary gas stream has been developed. A method to determine the total mechanical impulse using interference films data is proposed. A working formula based on the interference experimental data has been obtained, this formula permitting to determine the mechanical impulse and force acting on a section of the nonstationary gas stream.
Currently, the applicability of the approach in question is limited by the time interval, during which the "whole stream" can be viewed through the interferometer.
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