Nirupam Sarkar - Academia.edu (original) (raw)
Papers by Nirupam Sarkar
IEE Proceedings E (Computers and Digital Techniques), 1993
Abstract The problem of natural texture segmentation is considered. The technique is based on fou... more Abstract The problem of natural texture segmentation is considered. The technique is based on four texture features derived using the fractal geometry of images. These four features are fractal dimension (FD) of the original image, FD of above average (high) gray level image, ...
IEEE Transactions on Systems, Man, and Cybernetics, 1994
International Conference on Pattern Recognition, 1990
VIKNET (visual knowledge network), an extension of associative networks that is specifically desi... more VIKNET (visual knowledge network), an extension of associative networks that is specifically designed for knowledge representation for recognition of 3-D objects, is introduced. The design criteria, largely influenced by early vision processing, are discussed. VIKNET is formally described as an algebraic structure, with network functions defined on it. The input image, also in the form of a network, is recognized
International Conference on Pattern Recognition, 1992
Fractal dimension is a feature used to characterize roughness and self-similarity in a picture. T... more Fractal dimension is a feature used to characterize roughness and self-similarity in a picture. This feature is used in texture segmentation and classification, shape analysis and other problems. An efficient differential box-counting approach to fractal dimension estimation is proposed and compared with four other methods
Pattern Recognition Letters, 1993
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1995
... [2] L. Alvarez, PL Lions, and JM Morel, Image selective smoothing and edge detection by nonl... more ... [2] L. Alvarez, PL Lions, and JM Morel, Image selective smoothing and edge detection by nonlinear ... 8, pp. 15-25, 1986. Texture Segmentation Using Fractal Dimension ... [20] S. J. Osher and JA Sethian, Fronts propagation with curvature de-pendent speed: Algorithms based on ...
Signal Processing, 1995
Fractal geometry has found widespread applications in image processing problems. One interesting ... more Fractal geometry has found widespread applications in image processing problems. One interesting fractal parameter is the fractal dimension that characterizes the roughness of the image. Higher-order fractal dimensions called multifractal dimensions are used to characterize the underlying inhomogeneity of texture in an image. This note deals with the methods of estimating fractal and multifractal dimensions of gray-tone digital images. Experimental
VIKNET (visual knowledge network), an extension of associative networks that is specifically desi... more VIKNET (visual knowledge network), an extension of associative networks that is specifically designed for knowledge representation for recognition of 3-D objects, is introduced. The design criteria, largely influenced by early vision processing, are discussed. VIKNET is formally described as an algebraic structure, with network functions defined on it. The input image, also in the form of a network, is recognized
Fractal dimension is a feature used to characterize roughness and self-similarity in a picture. T... more Fractal dimension is a feature used to characterize roughness and self-similarity in a picture. This feature is used in texture segmentation and classification, shape analysis and other problems. An efficient differential box-counting approach to fractal dimension estimation is proposed and compared with four other methods
Iet Software/iee Proceedings - Software, 1993
Abstract The problem of natural texture segmentation is considered. The technique is based on fou... more Abstract The problem of natural texture segmentation is considered. The technique is based on four texture features derived using the fractal geometry of images. These four features are fractal dimension (FD) of the original image, FD of above average (high) gray level image, ...
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1995
... [2] L. Alvarez, PL Lions, and JM Morel, Image selective smoothing and edge detection by nonl... more ... [2] L. Alvarez, PL Lions, and JM Morel, Image selective smoothing and edge detection by nonlinear ... 8, pp. 15-25, 1986. Texture Segmentation Using Fractal Dimension ... [20] S. J. Osher and JA Sethian, Fronts propagation with curvature de-pendent speed: Algorithms based on ...
IEEE Transactions on Systems, Man, and Cybernetics, 1994
Signal Processing, 1995
Fractal geometry has found widespread applications in image processing problems. One interesting ... more Fractal geometry has found widespread applications in image processing problems. One interesting fractal parameter is the fractal dimension that characterizes the roughness of the image. Higher-order fractal dimensions called multifractal dimensions are used to characterize the underlying inhomogeneity of texture in an image. This note deals with the methods of estimating fractal and multifractal dimensions of gray-tone digital images. Experimental
Pattern Recognition Letters, 1993
Pattern Recognition, 1992
IEE Proceedings E (Computers and Digital Techniques), 1993
Abstract The problem of natural texture segmentation is considered. The technique is based on fou... more Abstract The problem of natural texture segmentation is considered. The technique is based on four texture features derived using the fractal geometry of images. These four features are fractal dimension (FD) of the original image, FD of above average (high) gray level image, ...
IEEE Transactions on Systems, Man, and Cybernetics, 1994
International Conference on Pattern Recognition, 1990
VIKNET (visual knowledge network), an extension of associative networks that is specifically desi... more VIKNET (visual knowledge network), an extension of associative networks that is specifically designed for knowledge representation for recognition of 3-D objects, is introduced. The design criteria, largely influenced by early vision processing, are discussed. VIKNET is formally described as an algebraic structure, with network functions defined on it. The input image, also in the form of a network, is recognized
International Conference on Pattern Recognition, 1992
Fractal dimension is a feature used to characterize roughness and self-similarity in a picture. T... more Fractal dimension is a feature used to characterize roughness and self-similarity in a picture. This feature is used in texture segmentation and classification, shape analysis and other problems. An efficient differential box-counting approach to fractal dimension estimation is proposed and compared with four other methods
Pattern Recognition Letters, 1993
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1995
... [2] L. Alvarez, PL Lions, and JM Morel, Image selective smoothing and edge detection by nonl... more ... [2] L. Alvarez, PL Lions, and JM Morel, Image selective smoothing and edge detection by nonlinear ... 8, pp. 15-25, 1986. Texture Segmentation Using Fractal Dimension ... [20] S. J. Osher and JA Sethian, Fronts propagation with curvature de-pendent speed: Algorithms based on ...
Signal Processing, 1995
Fractal geometry has found widespread applications in image processing problems. One interesting ... more Fractal geometry has found widespread applications in image processing problems. One interesting fractal parameter is the fractal dimension that characterizes the roughness of the image. Higher-order fractal dimensions called multifractal dimensions are used to characterize the underlying inhomogeneity of texture in an image. This note deals with the methods of estimating fractal and multifractal dimensions of gray-tone digital images. Experimental
VIKNET (visual knowledge network), an extension of associative networks that is specifically desi... more VIKNET (visual knowledge network), an extension of associative networks that is specifically designed for knowledge representation for recognition of 3-D objects, is introduced. The design criteria, largely influenced by early vision processing, are discussed. VIKNET is formally described as an algebraic structure, with network functions defined on it. The input image, also in the form of a network, is recognized
Fractal dimension is a feature used to characterize roughness and self-similarity in a picture. T... more Fractal dimension is a feature used to characterize roughness and self-similarity in a picture. This feature is used in texture segmentation and classification, shape analysis and other problems. An efficient differential box-counting approach to fractal dimension estimation is proposed and compared with four other methods
Iet Software/iee Proceedings - Software, 1993
Abstract The problem of natural texture segmentation is considered. The technique is based on fou... more Abstract The problem of natural texture segmentation is considered. The technique is based on four texture features derived using the fractal geometry of images. These four features are fractal dimension (FD) of the original image, FD of above average (high) gray level image, ...
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1995
... [2] L. Alvarez, PL Lions, and JM Morel, Image selective smoothing and edge detection by nonl... more ... [2] L. Alvarez, PL Lions, and JM Morel, Image selective smoothing and edge detection by nonlinear ... 8, pp. 15-25, 1986. Texture Segmentation Using Fractal Dimension ... [20] S. J. Osher and JA Sethian, Fronts propagation with curvature de-pendent speed: Algorithms based on ...
IEEE Transactions on Systems, Man, and Cybernetics, 1994
Signal Processing, 1995
Fractal geometry has found widespread applications in image processing problems. One interesting ... more Fractal geometry has found widespread applications in image processing problems. One interesting fractal parameter is the fractal dimension that characterizes the roughness of the image. Higher-order fractal dimensions called multifractal dimensions are used to characterize the underlying inhomogeneity of texture in an image. This note deals with the methods of estimating fractal and multifractal dimensions of gray-tone digital images. Experimental
Pattern Recognition Letters, 1993
Pattern Recognition, 1992