Adaptation of spatial filtering theory to the estimation of texture element size and regularity

Benke, Kurt K.

doi:10.1016/s0168-1699(00)00127-7

Cited by 4 publications

(2 citation statements)

References 9 publications

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“…This smooth convergence suggests that the stopping rule proposed by Robinson in Eqn ( 21) is not necessary in this simple baseline revenue model. This rule is more appropriate for noisy or nonsmooth data, where the search space may also contain random jumps to multiple maxima, in which case global search algorithms are necessary (Benke and Skinner 1994;Benke 2000). In the present case, the model given by Eqn ( 22) is preferable, especially in that it estimates the maximum value itself directly rather than the number of iterations required for a specified precision.…”

Section: Optimisation Resultsmentioning

confidence: 99%

Experiments in Optimal Spatial Segmentation of Local Regions Using Categorical and Quantitative Data

Benke

2012

Appl. Spatial Analysis

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A computational framework is described for optimal spatial allocation of land use categories across a geographical region. The relevance of optimisation, its advantages and disadvantages, and details on mathematical background relevant to natural resource management are discussed.Experiments were conducted with a probabilistic optimisation procedure using a prototype software package, with numerical results and visualisation provided for a case study. Results are provided for land use optimisation with an indication of the possible improvement in regional revenue, given data on crop yields and market prices for various commodities. When revenue is used as the performance index for optimisation, the approach reveals a significant improvement is possible when applied to a production region in Victoria, Australia. A conclusion drawn from the experiments is that the problem is quite complex in nature and open ended with many variables. An agenda is suggested for further development of the modelling strategy, by way of incremental improvements, as more environmental information is acquired and further constraint factors are considered.

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Section: Optimisation Resultsmentioning

confidence: 99%

Experiments in Optimal Spatial Segmentation of Local Regions Using Categorical and Quantitative Data

Benke

2012

Appl. Spatial Analysis

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“…Filtering has shown promise in identifying repeating textons [Malik et al 1999;Blostein and Ahuja 1989;Benke 2000]. Malik et al [1999] use a battery of 36 filters of different size and orientation to create a vector of filter responses for each location in the texture.…”

Section: Related Workmentioning

confidence: 99%

One-click lattice extraction from near-regular texture

Sookocheff

Mould

2005

Proceedings of the 3rd International Conference on Computer Graphics and Interactive Techniques in Australasia and South East A

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We present a method for extracting a lattice from nearregular texture. Our method demands minimal user intervention, needing a single mouse click to select a typical texton. The algorithm follows a four-step approach. First, an estimate of texton size is obtained by considering the spacing of peaks in the auto-correlation of the texture. Second, a sample of the image around the user-selected texton is correlated with the image. Third, the resulting correlation surface is converted to a map of potential texton centres using nonmaximal suppression. Finally, the maxima are formed into a graph by connecting potential texton centres. We have found the method robust in the face of significant changes in pixel intensity and geometric structure between textons.

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A discrete simulation approach to spatial allocation of commodity production for revenue optimisation over a local region

Benke

Wyatt

Sposito

2011

Journal of Spatial Science

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Adaptation of spatial filtering theory to the estimation of texture element size and regularity

Cited by 4 publications

References 9 publications

Experiments in Optimal Spatial Segmentation of Local Regions Using Categorical and Quantitative Data

Experiments in Optimal Spatial Segmentation of Local Regions Using Categorical and Quantitative Data

One-click lattice extraction from near-regular texture

A discrete simulation approach to spatial allocation of commodity production for revenue optimisation over a local region

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