This paper presents a bibliography of over 2250 references related to computer vision and
image analysis, arranged by subject matter. The topics covered include computational …

It is of great benefit to have advance knowledge of human visual target acquisition
performance for targets or other relevant objects. However, search performance inherently …

This paper describes a system for the automatically learned partitioning of visual patterns in
2D images, based on sophisticated band-pass filtering with fixed scale and orientation …

This paper presents three computational visual distinctness measures, computed from
image representational models based on selective filtering, statistical features, and visual …

Spanish computer scientists and physicist consider two different situations in predicting
visual target distinctness by means of a computer vision model. First, they assume that the …

A new computational visual distinctness metric based on principles of the early human
visual system is presented. The metric is applied to quantify (1) the visual distinctness of …

This paper presents a computational target distinctness model to predict human visual
search performance for a set of color images. Visual distinctness metrics can be used to …

To discover clustered microcalcifications in computerized mammogram image analysis firstly
we must define what we mean by calcifications in digitized mammographic images. Here we …

The goal of this paper is to analyze a new notion of visual pattern that captures the primary
details for the task of quantifying the visual distinctness of targets in complex natural scenes …

This paper presents a perceptual model to predict the visual distinction between a pair of
color images which correlates well with the human observer's evaluation. Its basic …