"morphological signal" is a correct and usable phrase in written English.
It refers to the specific form or structure of a word that conveys meaning or grammatical information. One example of using this phrase in a sentence could be: "The placement of a suffix in the word 'happily' is a morphological signal that indicates the adverbial form of 'happy'."
It is based on the morphological signal decomposition, a procedure that is used to model a facial image region as a sum of components.
Moreover, an analysis of the discriminatory power of each level in morphological signal decomposition is undertaken to assess better the behavior of the proposed method.
When a candidate person claims the identity of a reference person, a variant of dynamic link matching, the so-called morphological signal decomposition dynamic link architecture, is applied to yield a matching error between the reference grid and a variable grid that is built over the facial image region of the candidate person.
Based on the investigations above, morphological signal processing as a nonlinear data transform tool may be suitable for constructing feature extractor for pattern matching.
Typical ones are primarily filtering and multilayer signal decomposition, both requiring preset models and carefully selected parameters, like Wavelet Analysis, Hilbert-Huang Transform, etc. Morphological signal processing, however, gives a different viewpoint.
To conclude on this first-order morphological signal, it appears as related to intra-annual, and possibly inter-annual, population dynamics.
This feed-forward loop can integrate temporal information with morphological signals to ensure that post-aggregation genes are only expressed after cell contacts have been made.
In this work, the morphological characteristics of waste polyethylene (PE /polypropylene (PP) plastics during their pyrolysis process were investigated, and based on their basic image changing patterns representative morphological signals describing the pyrolysis stages were obtained.
Two morphological signals defined from digital image processing, namely, pixel area of the interested reaction region and bubble ratio (BR) caused by volatile evaporating were found to change regularly with pyrolysis stages.
Moreover, dynamical relationships between morphological and physiological traits are critical to account for when calculating the costs of both developing and expressing morphological signals used in competitive and reproductive contexts.
By comparing changes in each type of model's prediction performance, we could define the sensitivity of morphological signals for detecting collapse of hBMSC differentiation potential.
