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In this paper, we propose an adaptive algorithm for the detection of hotspots in thoracic spine from bone scintigraphy. The intensity distribution of spine is firstly analyzed. The Gaussian fitting curve for the intensity distribution of thoracic spine is estimated, in which the influence of hotspots is eliminated. The accurate boundary of hotspot is delineated via adaptive region growing algorithm...
The land cover types in urban fringe areas are relatively complex so as to improve the classification accuracy difficultly. This article analyzes the distribution characteristic in feature space of the pixels with a local window from satellite image on a part of SPOT from an urban fringe area in Beijing. There are two methods with different input parameters of using artificial neural networks to describe...
In this paper, a novel gradient Gabor (GGabor) filter is proposed to extract multi-scale and multi-orientation features to represent and classify faces. Gradient Gabor combines the derivative of Gaussian functions and the harmonic functions to capture the features in both spatial and frequency domains to deliver orientation and scale information. The spatial positions are combined into Gaussian derivatives...
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