Binary Mask Creation
Binary Mask Creation - Related Videos
10:14
Object Substitution Masking
0 Views •
2023
Source: Laboratory of Jonathan Flombaum—Johns Hopkins University Visual masking is a term used by perceptual scientists to refer to a wide range of phenomena in which in an image is presented but not perceived by an observer because of the presentation of a second image. There are several different kinds of masking, many of them relatively intuitive and unsurprising. But one surprising and important type of masking is called Object Substitution Masking. It has been a focus of research in vision...
02:05
Establishing a Binary Culture of Saccharibacteria with Host Bacteria
0 Views •
2025
Source: Collins, A. J., et al., Establishing Stable Binary Cultures of Symbiotic Saccharibacteria from the Oral Cavity. J. Vis. Exp. (2021)This video demonstrates the establishment and maintenance of a binary culture of Saccharibacteria and its host bacterium by sequentially co-incubating them in host-specific growth medium.
08:05
Testing Tactile Masking between the Forearms
0 Views •
Cited by 2 •
2016
Here we explore contralateral tactile masking between the forearms in which tactile detection thresholds are modulated by vibration applied to a remote site. The details of which remote sites have an effect can tell us about how the body is represented in the brain.
09:39
Creation of Reversible Cholestatic Rat Model
0 Views •
2011
Cholestasis is a clinical condition commonly encountered by both surgeons and gastroenterologists. Creation of a reversible cholestatic rat model can be challenging in view of the smaller size and unique hepatopancreatobiliary anatomy in rats. This video article demonstrates the creation of a reversible cholestatic model.
01:26
Binary Fission
0 Views •
2025
Binary fission is the primary mode of asexual reproduction in prokaryotes, such as bacteria. It results in the production of two genetically identical daughter cells. This highly efficient process ensures the rapid propagation of bacterial populations under favorable conditions and involves coordinated cellular and molecular events.DNA Replication and SeparationThe process begins with the replication of the bacterial chromosome. The circular DNA molecule unwinds at a specific origin of...
FAQs
Threshold selection controls the separation between target and non-target regions. A threshold can be applied to image intensity, color, or another measured feature, so image areas meeting the criterion are assigned to one class and the remainder to the other. The chosen feature and cutoff therefore determine whether the mask captures the intended object consistently.
Post-processing changes the mask after initial classification. Noise removal can eliminate small unwanted regions, filling can close gaps within detected objects, and morphological filtering can refine boundaries or shapes. These operations matter because the first thresholded result may contain imperfections that interfere with identifying an animal, body part, or movement region.
Changes in lighting can alter the measured intensity or color of the target and background, causing the same threshold to produce different foreground regions across recordings. Mask quality therefore depends on how well the selected feature and threshold separate the subject from background variation. Refinement operations can further reduce the influence of these image changes.
The mask retains the location of regions classified as foreground versus background, while omitting much of the original visual detail. This simplification makes the representation suitable for measuring position, posture, distance, and activity. Its value is greatest when those behavioral variables depend on reliably locating the subject or movement region rather than preserving full image appearance.
A typical workflow begins by selecting a visual feature such as intensity or color and applying a threshold. The resulting two-class image is then refined through noise removal, filling, or morphological filtering. Researchers can use the cleaned mask to isolate an animal, body part, or movement region before extracting behavioral measurements.
After isolating the relevant region, the mask provides a standardized basis for tracking where that region is and how it changes across a recording. From this representation, analyses can measure position, posture, distance, and activity. The approach supports automated tracking while reducing the influence of background variation and lighting conditions.