Most edge detection algorithms include three main stages: smoothing, differentiation, and labeling. In this paper, we evaluate the performance of algorithms in which competitive learning is applied first to enhance ed...
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(纸本)1604238216
Most edge detection algorithms include three main stages: smoothing, differentiation, and labeling. In this paper, we evaluate the performance of algorithms in which competitive learning is applied first to enhance edges, followed by an edge detector to locate the edges. In this way, more detailed and relatively more unbroken edges can be found as compared to the results when an edge detector is applied alone. The algorithms compared are K-Means, SOM and SOGR for clustering, and Canny and GED for edge detection. Perceptionally, best results were obtained with the GED-SOGR algorithm. The SOGR is also considerably simpler and faster than the SOM algorithm.
In this paper, we discuss edge detection by first using a clustering algorithm followed by a known edge detection filter such as Canny or generalized edge detector (GED). We developed a new clustering method called Se...
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In this paper, we discuss edge detection by first using a clustering algorithm followed by a known edge detection filter such as Canny or generalized edge detector (GED). We developed a new clustering method called Self-Organizing Global Ranking (SOGR). Comparative results with multispectral satellite images including SOGR, SOM and K Means clustering methods are discussed. The results show that the two-stage algorithms are better than single stage edge detector algorithms.
Most edge detection algorithms include three main stages: smoothing, differentiation, and labeling. In this paper, we evaluate the performance of algorithms in which competitive learning is applied first to enhance ed...
详细信息
Most edge detection algorithms include three main stages: smoothing, differentiation, and labeling. In this paper, we evaluate the performance of algorithms in which competitive learning is applied first to enhance edges, followed by an edge detector to locate the edges. In this way, more detailed and relatively more unbroken edges can be found as compared to the results when an edge detector is applied alone. The algorithms compared are K-Means, SOM and SOGR for clustering, and Canny and GED for edge detection. Perceptionally, best results were obtained with the GED-SOGR algorithm. The SOGR is also considerably simpler and faster than the SOM algorithm.
We present a new fusion algorithm using a novel multidecomposition approach based on a DFT/RDFT-based symmetric, zero-phase, nonoverlapping digital filter bank representation. For the panchromatic image and each band ...
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We present a new fusion algorithm using a novel multidecomposition approach based on a DFT/RDFT-based symmetric, zero-phase, nonoverlapping digital filter bank representation. For the panchromatic image and each band of the multispectral image, the lowpass and highpass subband components are obtained in a tree structure using zero-phase filters implemented by the RDFT. The approximation subband of the multispectral image is merged with the detail subbands of the panchromatic image. The fused data is recovered from the subband signals by a new perfect reconstruction algorithm. This process is performed on each band of the multispectral image to obtain the final fused high resolution multispectral image.
This paper introduces a new programming model for distributed systems, distributed composite objects (DCO), to meet efficient implementation, transparency, and performance demands of distributed applications with coop...
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This paper considers the stability of the fractional-order linear time-invariant systems with interval type uncertainties in both fractional orders and the relevant coefficients. It is an extension of our previous res...
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This invited paper presents a number of correlated specifications of example railway system problems. They use a variety of partially or fully integrated formal specification. The paper thus represents a mere reposito...
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This paper describes a proposal for typing the behavior of objects in component models. Most component models, CORBA in particular, do not offer any support for expressing behavioral properties of objects beyond the S...
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This paper aims at achieving improved land cover classification performance over conventional per-pixel classifiers as well as spectral-spatial classifiers such as ECHO (Extraction and Classification of Homogeneous Ob...
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