Many text recognition systems recognize text imagery at the character level and assemble words from the recognized characters. An alternative approach is to recognize text imagery at the word level, without analyzing individual characters. This approach avoids the problem of individual character segmentation, and can overcome local errors in character recognition. A word-level recognition syste...

Ongoing efforts at our laboratory have targeted the development of techniques for fusing medical imagery of various modalities (i.e. MRI, CT, PET, SPECT, etc.) into single image products. Past results have demonstrated the potential for user performance improvements and workload reduction. While these are positive results, a need exists to address the threedimensional nature of most medical ima...

This research was an attempt to replicate and extend a published study that reported a left hemispheric locus for the generation of mental images. Several methodological problems were addressed, the stability of effects was assessed by repeating the experiment, and P300 latency was measured. A lateralized visual choice reaction time task was performed twice, once without the use of imagery and ...

The information content in remote sensing imagery depends upon various factors such as spatial and radiometric resolutions, spatial scale of the features to be imaged, radiometric contrast between different target types, and the type and amount of noise present in the imagery. Various statistical and textural measures are used to characterize image information content, based upon which differen...

This paper presents an overview of a planned system for automatic population of geospatial databases which represent urban exteriors as textured geometric model data. The salient features of the system are that 1) it employs \pose-imagery:" high-quality, digital still images, each timestamped, and annotated with a reliable estimate of the acquiring camera's absolute position and attitude; 2) it...

introduction:  the  purpose  of  this  study  is  to  define  the  optimal  parameters  for  the  tomographic  reconstruction procedure in a routine single photon emission tomography. the hoffman brain phantom  is modified to evaluate the reconstruction method. the phantom was imaged in a 3 and 2-dimensional  conformation and the results were compared.   materials  and  methods:  the  2d  phant...

Inertial navigation with low-cost IMU’s can be an acceptable sole navigation source during short periods of GPS signal dropout due to intentional or unintentional interference. However, as the dropout period continues, the inertial navigation error reach unacceptable levels. In this paper, a technique is presented where relative or absolute position estimates derived from onboard captured image...

Applications of remote sensing for biodiversity conservation typically rely on image classifications that do not capture variability within coarse land cover classes. Here, we compare two measures derived from unclassified remotely sensed data, a measure of habitat heterogeneity and a measure of habitat composition, for explaining bird species richness and the spatial distribution of 10 species...

What brings together Henri Bergson's Matter and Memory and JeanPaul Sartre's Imagination and The Psychology of Imagination is the question of the ontology of the image. Bergson attempts to use the image to bridge the gap between mind and matter by refusing to distinguish clearly between what he calls “matter-images,” “perception-images,” and “memory-images.” By defining both consciousness and t...

Although spatial measures such as texture and shape extracted from very high resolution imagery (VHR) have been successfully employed in pixel-based classifications, the effectiveness of such measures in classification mainly depends on the optimal window size in which spatial measures are calculated. However, an optimal window size is usually subjective and varies for different image and diffe...