Spectral-sensitivity functions for large, long-duration increments presented on a photopic white background indicate that wavelength-opponent mechanisms mediate detection in both normal and dichromatic humans. Normal humans exhibit high color-vision sensitivity as they discriminate the color of spectral flashes at detection-threshold intensities. However, dichromatic humans require stimuli up t...

Corner models in the literature have lagged behind edge models with respect to color and shading. We use both a region model, based on distributions of pixel colors , and an edge model, which removes false positives, to perform corner detection on color images whose regions contain texture. We show results on a variety of natural images at diierent scales that highlight the problems that occur ...

We present a novel vector ridge detector which is designed to automaticaly find the right scale of a ridge even in the presence of noise, multiple steps and narrow valleys. One of the key features of such ridge detector is that it has a zero response at discontinuities. The ridge detector can be applied both to scalar and vector quantities such as color. We also present a parallel perceptual or...

Color edge detection is approached in this paper using vector order statistics. Based on the R-ordering method, a class of color edge detectors is defined. These detectors function as vector operators as opposed to component-wise operators. Specific edge detectors can be obtained as special cases of this class. Various such detectors are defined and analyzed. Experimental results show the noise...

BACKGROUND The phenomenon of change blindness may reflect the failure to detect the presence of change or the absence of change. Although performing the latter is considered more difficult than the former, the differential functioning of retrieval/comparison processing that leads to differences between the detection of the presence and the absence of change has not been clarified. This study ai...

Abstract The process of identifying specific examples an item inside image or video is referred to as “object detection,” and it one the computer vision techniques. When individuals look at pictures movies, they are able recognize find things that interest them. primary goal field object recognition achieve this level intelligence via use a computer. Image segmentation blob analysis, which uses...