The phrase "adopt image" is correct and usable in written English.
It can be used when referring to the act of taking on or accepting an image, whether in a literal or metaphorical sense, such as in design or branding contexts.
Example: "To enhance our marketing strategy, we decided to adopt an image that resonates with our target audience."
Alternatives: "embrace the image" or "take on the image".
Edge-based models adopt image gradient as constraint condition which impels the initial contour to converge to object boundary [5].
Although both a CBIR system and a VSN adopt image feature detection/description algorithms, their selection criteria are different.
Considering the computational complexity, many approaches adopt image gradient as a measurement feature [20 22] due to effectively capturing image local structure which is incentive to HSV.
Since the atmospheric veil almost has no specific edges or textures, we may adopt image filtering approach to estimate the haze layer from the hazy image.
We have contributed in over 10 years now to the development and evolution of the OsiriX imaging platform [2], a widely adopted image review and analysis software that is used by radiologists and clinicians around the world for interpretation of all kinds of digital images [3].
Several widely adopted image quality metrics are used to evaluate the deblurred images generated by the proposed Taguchi method.
Focus is on the numerical implementation that adopts image analysis techniques to identify individual plastic zones and to treat none-regular mesh configurations.
The adopted image processing technique involved the analysis of video frames recorded from a high-speed camera (Phantom 9.2) in a horizontal transparent pipe using a combination of the approximate median method and blob analysis, along with an additional morphological process for detecting and segregating individual slugs.
We believe that Syte.ai will disrupt the way industry adopts image search technology".
The analysis procedure adopting image contrast enhancement, noise removal and particle separation by threshold and "watershed" methods was applied to 2μm × 2μm AFM images of the Au droplets.
We have adopted image processing and machine learning methods to facilitate the annotation task.
