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Image conversion

About: Image conversion is a research topic. Over the lifetime, 2490 publications have been published within this topic receiving 19077 citations.


Papers
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Patent
17 Dec 1999
TL;DR: In this paper, a template matching of multicolored images provides an image conversion process that respectively views two, three or four input color planes through an input observation window, and the obtained single plane vectors are combined into a multi-plane vector that may be used in a look-up table for descreening or resolution enhancement.
Abstract: Systems and methods for template matching of multicolored images provide an image conversion process that respectively views two, three or four input color planes through an input observation window. Single plane vectors are obtained that represent the color planes. The obtained single plane vectors are combined into a multi-plane vector that may be used in a look-up table for descreening or resolution enhancement, for example. Various interactions between color planes may be taken into account to provide optimum color space conversion. Additional information obtained by using the multi-plane vector allow performance of image processes with optimized accurate color values.

1 citations

Patent
25 Nov 2015
TL;DR: In this article, an apparatus and a method for calculating coordinates using a pattern recognition is described, which includes an image conversion unit which inserts a preset pattern frame into at least one frame of an original image; an image output unit which outputs the image where the pattern frame is inserted; and a coordinate calculation unit which calculates coordinates within the image outputted from the unit pattern recognized in the pattern recognition unit.
Abstract: Disclosed are an apparatus and a method for calculating coordinates using a pattern recognition According to one embodiment of the present invention, the apparatus for calculating coordinates using the pattern recognition includes: an image conversion unit which inserts a preset pattern frame into at least one frame of an original image; an image output unit which outputs the image where the pattern frame is inserted; a pattern recognition unit which obtains a part of the image outputted from the image output unit, and recognizes a unit pattern within the pattern frame from a part of the obtained image; and a coordinate calculation unit which calculates coordinates within the image outputted from the unit pattern recognized in the pattern recognition unit

1 citations

Patent
25 Sep 2020
TL;DR: In this article, a gas compressor vibration fault detection method based on a recurrence plot and a deep convolutional network was proposed, which is suitable for carrying out characteristic analysis on the non-stationary nonlinear time sequence.
Abstract: The invention discloses a gas compressor vibration fault detection method based on a recurrence plot and a deep convolutional network. The method comprises the steps of firstly, constructing a compressor aerodynamic instability vibration fault database, selecting existing experimental data, and obtaining a large number of fault databases through data preprocessing; secondly, selecting a two-dimensional image conversion method; converting the one-dimensional vibration signal into a two-dimensional image, finally, selecting a deep convolutional neural network Inception V3 model, keeping a modelfeature extraction link unchanged by adopting transfer learning, and performing fault feature extraction and detection on a two-dimensional image recursive graph by adjusting a feature integration link structure. According to the method, the two-dimensional image reflects the phase space manifold in the time sequence internal dynamic system, the dynamic characteristics of the system are disclosed,and the method is suitable for carrying out characteristic analysis on the non-stationary nonlinear time sequence. Advantages in machine vision are applied to the field of non-vision, and mechanicalvibration fault detection is performed by adopting a deep convolutional neural network Inception V3 model so that huge workload of manual feature design can be reduced.

1 citations

Patent
Shuji Senda1
09 Sep 2010
TL;DR: An image conversion parameter calculation device accurately calculates a conversion parameter for image alignment with a processing amount that does not depend on the size of an image to be aligned as discussed by the authors, where a pixel selection element randomly selects pixels from a predetermined number or pixels of not more than the predetermined number from a first image.
Abstract: An image conversion parameter calculation device accurately calculates a conversion parameter for image alignment with a processing amount that does not depend on the size of an image to be aligned. A pixel selection element randomly selects pixels from a predetermined number or pixels of not more than the predetermined number from a first image. A parameter derivation element derives a conversion parameter by performing processing for pixels selected by the pixel selection element, the conversion parameter being a parameter for converting, to the first image, a second image that is subject to image alignment with the first image.

1 citations

Patent
15 Aug 2003
TL;DR: In this article, a portable telephone requests display of an image of an Internet camera or an image in an image file in image storage server via a carrier gateway and the Internet, an image conversion system copies the display image, acquires conversion parameters (brightness, contrast, input gamma value and the like) for the copy image corresponding to model information acquired from the portable telephone 1, from conversion parameters 6, converts the image about, for example, brightness, converting the converted image about contrast, converted the transformed image about an input gamma values, and transmits the final converted image
Abstract: PROBLEM TO BE SOLVED: To render a requested image viewable in the same way by humans even on different models by converting the image to optimal image quality depending on characteristics of each model. SOLUTION: When a portable telephone 1 requests display of an image of an Internet camera 7 or an image in an image file in an image storage server 8, via a carrier gateway 2 and the Internet, an image conversion system 5 in an image delivery server 4 copies the display image, acquires conversion parameters (brightness, contrast, input gamma value and the like) for the copy image corresponding to model information acquired from the portable telephone 1, from conversion parameters 6, converts the image about, for example, brightness, converts the converted image about contrast, converts the converted image about an input gamma value, converts the image likewise in succession about each parameter, and transmits the final converted image to the portable telephone 1, which displays the converted image. COPYRIGHT: (C)2003,JPO

1 citations


Network Information
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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202132
202074
2019117
2018115
2017100
2016107