A convincing demonstration of the late influence of depth segmentation on the saliency of illusory contours has been provided by Reynolds [84].
The first assumption is that the influence of depth segmentation on the perception of illusory contours is modulatory and not causal.
The cues are considered and used in connection to both foveal and peripheral vision to provide depth information, segmentation of the object(s) of interest, object recognition, tracking and pose estimation.
Recently, a new approach to automatic object segmentation, which uses extra information, such as depth, flash/no-flash difference, and depth-of-field (DoF), has been introduced [18 21].
To date, the most common method for evaluating the effectiveness of a segmentation method is subjective evaluation, in which a human visually compares the image segmentation results for separate segmentation algorithms, which is a tedious process and inherently limits the depth of evaluation to a relatively small number of segmentation comparisons over a predetermined set of images.
Quality of segmentation was consistent across many regions and imaging depths, including cortex, striatum, midbrain, and cerebellum.
The T-junction is a typical example of a local depth segmentation cue or interposition cue.
Campaigns often consolidate everything on one platform, with various degrees of segmentation.
Initialization of Segmentation (Step 3).
(D ) Fluorescence images showing contour of segmentation.
