Add to ORKGThis paper presented a novel algorithm for computational complexity reduction in gray-scale image processing. We developed a correlation algorithm of the detection for gray scale objects that is invariant with respect to rotation by 180° relative to the horizontal axis. It is possible to detect the object by analyzing the correlation coefficients lying at the diagonals of the matri
Detection of objects in cluttered scenes is a basic challenge that has only recently been widely und...
A new method for the detection and recognition of objects was developed for grayscale images. Obstac...
The diagnostic potential of medical images obtained at different times or from different imaging mod...
This paper presented a novel algorithm for computational complexity reduction in gray-scale image pr...
This paper presented a novel algorithm for computational complexity reduction in gray-scale image pr...
A demanding pattern recognition problem is to recognize objects despite distortions in position, ori...
To recognise an object many problems must be solved and many assumptions must be made. These assumpt...
This thesis deals with detection of rotation and scaling differences between two similar images by u...
A method of correlation search for binary objects in images by factorizing raster matrices is propos...
technical reportThis paper investigates the use of generalized cross-correlation in pattern matching...
This paper presents a novel learning algorithm that finds the linear combination of one set of multi...
This paper presents a novel learning algorithm that finds the linear combination of one set of multi...
We describe a pattern-recognition processor that is optimal for detection and location of a target w...
This paper presents a novel learning algorithm that finds the linear combination of one set of multi...
This paper presents a novel learning algorithm that nds the linear combination of one set of multi-d...
Detection of objects in cluttered scenes is a basic challenge that has only recently been widely und...
A new method for the detection and recognition of objects was developed for grayscale images. Obstac...
The diagnostic potential of medical images obtained at different times or from different imaging mod...
This paper presented a novel algorithm for computational complexity reduction in gray-scale image pr...
This paper presented a novel algorithm for computational complexity reduction in gray-scale image pr...
A demanding pattern recognition problem is to recognize objects despite distortions in position, ori...
To recognise an object many problems must be solved and many assumptions must be made. These assumpt...
This thesis deals with detection of rotation and scaling differences between two similar images by u...
A method of correlation search for binary objects in images by factorizing raster matrices is propos...
technical reportThis paper investigates the use of generalized cross-correlation in pattern matching...
This paper presents a novel learning algorithm that finds the linear combination of one set of multi...
This paper presents a novel learning algorithm that finds the linear combination of one set of multi...
We describe a pattern-recognition processor that is optimal for detection and location of a target w...
This paper presents a novel learning algorithm that finds the linear combination of one set of multi...
This paper presents a novel learning algorithm that nds the linear combination of one set of multi-d...
Detection of objects in cluttered scenes is a basic challenge that has only recently been widely und...
A new method for the detection and recognition of objects was developed for grayscale images. Obstac...
The diagnostic potential of medical images obtained at different times or from different imaging mod...