Original imageEdge map (inverted)Thresholded edge map using Otsu's algorithmThresholded edge map using Rosin's algorithm
Unimodal thresholding is an algorithm for automatic image threshold selection in image processing. Most threshold selection algorithms assume that the intensity histogram is multi-modal; typically bimodal. However, some types of images are essentially unimodal since a much larger proportion of just one class of pixels (e.g. the background) is present in the image, and dominates the histogram. In such circumstances many of the standard threshold selection algorithms will fail. However, a few algorithms have been designed to specifically cope with such images.
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Unimodalthresholding is an algorithm for automatic image threshold selection in image processing. Most threshold selection algorithms assume that the...
classification system (AJUS) for distributions: A: unimodal distribution – peak in the middle J: unimodal – peak at either end U: bimodal – peaks at both...
fingerprints. While unimodal biometric systems are limited by the integrity of their identifier, it is unlikely that several unimodal systems will suffer...
or type of the data set used. Generative AI can be either unimodal or multimodal; unimodal systems take only one type of input, whereas multimodal systems...
+1)}{m}}.} Since P ( ⋅ | α , β ) {\displaystyle P(\cdot |\alpha ,\beta )} is unimodal, the wavelet generated by ψ b e t a ( t | α , β ) = ( − 1 ) d P ( t | α...
The finer result of the Vysochanskii–Petunin inequality, that for any unimodal probability distribution, the probability of an outcome greater than k...
distribution of binding sites matching the direct-binding motif tends to be unimodal, well centered and maximal in the precise center of the ChIP-seq peak regions...
into effect when a unimodal stimulus fails to produce a response. Integration effect is applied when the brain detects weak unimodal signals and combines...
another is perceived. Multimodal perception is qualitatively different from unimodal perception. There has been a growing body of evidence since the mid-1990s...
Hussain, Amir (September 2017). "A review of affective computing: From unimodal analysis to multimodal fusion". Information Fusion. 37: 98–125. doi:10...
psychedelic drugs LSD and psilocybin reduce the hierarchical differentiation of unimodal and transmodal cortex". bioRxiv. doi:10.1101/2020.05.01.072314. S2CID 233346402...
understanding of the relative contributions of perceptual and non-sensory, unimodal and supramodal factors to performance on psychoacoustic tests may well...
| ω | < K r {\displaystyle |\omega |<Kr} . When g {\displaystyle g} is unimodal and symmetric, then a stable state solution for the system is r = r K ∫...
algorithm (RRA) is a meta-heuristic optimization algorithm for solving unimodal and multimodal problems inspired by the runners and roots of plants in...
doubling is infinite. This dimension is the same for any differentiable and unimodal function. log 3 ( 2 ) {\displaystyle \log _{3}(2)} 0.6309 Cantor set...
in the Pacinian corpuscles receptor pathways, and other alterations in unimodal and multisensory processing have been detected in autism populations. People...
Uniformly most powerful test Unimodal distribution – redirects to Unimodal function (has some stats context) Unimodality Unit (statistics) Unit of observation...
population ensures greater fidelity and precision. For a population of unimodal tuning curves, i.e. with a single peak, the precision typically scales...
himself. The case 0 < m < 1 {\displaystyle 0<m<1} is characterized by a unimodal species distribution in a Preston Diagram and often fitted by a log-normal...
intervals, and specified constraints on its distributional shape (family, unimodality, symmetry, etc.). A p-box represents a class of probability distributions...
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