To see if nuclear medicine images could be interpreted by computer, lung perfusion images were stored, either on disc, or on magnetic tape as matrices. The matrices were processed, thereafter, by a number of different...
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To see if nuclear medicine images could be interpreted by computer, lung perfusion images were stored, either on disc, or on magnetic tape as matrices. The matrices were processed, thereafter, by a number of different maneuvers, and an algorithm incorporating the most promising methods was applied to all of the stored images. The images were originally derived from three different scinticameras, with different field sizes, but as long as the orientation of the transmitted imaged was not rotated from what the algorithm was told to expect, the image could be processed. The objective of this project was to write a program to automatically evaluate perfusion lung scans.
A film recording system is described which combines the advantages of the multi-format image systems with the advantages of computer imaging systems. images of improved visual quality are obtained by quantitative cont...
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A film recording system is described which combines the advantages of the multi-format image systems with the advantages of computer imaging systems. images of improved visual quality are obtained by quantitative control of gray scale and removal of the digital matrix pattern. A method is described for increasing 16 levels of gray to 31 using a double exposure. Formats are defined by the user using a CRT display and interactive software. Formats can consist of curves and text as well as images. A light metering device automatically calibrates the brightness of the display scope.
This paper describes an image dependent two-dimensional nonlinear spatial filter designed to be a resolution preserving textural feature extractor for image data. The textural transform is based on the neighboring gre...
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This paper describes an image dependent two-dimensional nonlinear spatial filter designed to be a resolution preserving textural feature extractor for image data. The textural transform is based on the neighboring grey tone co-occurrence properties of the image to be transformed. Classification experiments with the textural transform on satellite multispectral scanner imagery over forrested areas show that higher identification accuracy can be achieved when using combined spectral and textural information than when using only spectral information.
This paper describes an image dependent two-dimensional nonlinear spatial filter designed to be a resolution preserving textural feature extractor for image data. The textural transform is based on the neighboring gre...
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This paper describes an image dependent two-dimensional nonlinear spatial filter designed to be a resolution preserving textural feature extractor for image data. The textural transform is based on the neighboring grey tone co-occurrence properties of the image to be transformed. Classification experiments with the textural transform on satellite multispectral scanner imagery over forrested areas show that higher identification accuracy can be achieved when using combined spectral and textural information than when using only spectral information.
The authors consider how to structure the world model so that it will be able to guide the recognitionprocess. For static representation of concepts, visually seen objects, and their relationships, a lattice structur...
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The authors consider how to structure the world model so that it will be able to guide the recognitionprocess. For static representation of concepts, visually seen objects, and their relationships, a lattice structure has been used. The lattice structure is felt to embody certain natural orderings among concepts, such as the generalization and complexity aspects. In addition to the static representation, there has been introduced a dynamic mechanism called conceptual focusing and defocusing. This process enables one to organize the search for certain objects in more efficient and meaningful way.
The system consists of a digital image scanner used for locating the lung fields and for texture measurements as well as an automated film transport and Fraunhofer diffraction pattern sampling unit. A minicomputer is ...
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The system consists of a digital image scanner used for locating the lung fields and for texture measurements as well as an automated film transport and Fraunhofer diffraction pattern sampling unit. A minicomputer is used to control the image scanning, position the film in the optical system and compute discriminate functions and probability estimates for the classification decisions. Results for a normal-abnormal classification are presented using both digital and optical texture measurements. These results correlate well with previous feasibility studies and with physician readings anindicate that an alternative to visual classification is possible through the use of automated measurements.
The system consists of a digital image scanner used for locating the lung fields and for texture measurements as well as an automated film transport and Fraunhofer diffraction pattern sampling unit. A minicomputer is ...
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The system consists of a digital image scanner used for locating the lung fields and for texture measurements as well as an automated film transport and Fraunhofer diffraction pattern sampling unit. A minicomputer is used to control the image scanning, position the film in the optical system and compute discriminate functions and probability estimates for the classification decisions. Results for a normal-abnormal classification are presented using both digital and optical texture measurements. These results correlate well with previous feasibility studies and with physician readings anindicate that an alternative to visual classification is possible through the use of automated measurements.
This association mechanism enables a simple hardware building of recognizers by saving the large scale computations normally required for patternrecognition. recognition rates are remarkably improved by the flexibili...
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This association mechanism enables a simple hardware building of recognizers by saving the large scale computations normally required for patternrecognition. recognition rates are remarkably improved by the flexibility of adapting to the repeated appearances of particular patterns to be recognized, and this is also closely related to the association capability. Experimental results are given for the case of on-line recognition of handprinting.
Feasibility of identification of three-dimensional objects from their silhouettes by a sequential matching algorithm is studied. A known object is sequentially moved in the parameter space, and synthetically projected...
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Feasibility of identification of three-dimensional objects from their silhouettes by a sequential matching algorithm is studied. A known object is sequentially moved in the parameter space, and synthetically projected until its silhouette matches that of the unknown silhouette. The method appears to work well but requires substantial numerical computation, since many local minima exist. It may be more suited for tracking trajectories of moving objects where local minima would provide estimation of current parameters of the object, and where excessive processing may not be needed.
This paper establishes absolute bounds on the amount of memory required to perform pattern-recognition tasks with a misclassification rate not exceeding a specified level. pattern-recognition activities are viewed as ...
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This paper establishes absolute bounds on the amount of memory required to perform pattern-recognition tasks with a misclassification rate not exceeding a specified level. pattern-recognition activities are viewed as communication channels with sample sets as inputs and decision rules as outputs. Shannon's rate-distortion theory gives rise to language-independent bounds on the complexity of class descriptions as a function of the number of samples, the size of the data space and the error level tolerated.
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