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However, while the above descriptors have shown promising performance for representing local patches with regular structure in different computer vision problems, they cannot handle more complex illumination change.
The sinkage detection method is proved to have fairly reasonable adaptability to complex illumination conditions, based on the experimental results for different illumination conditions.
However, since these factors which determine the shadow pixel values are more or less stable, the values that a given pixel takes, when shadowed by different foreground objects, show a certain agreement even in complex illumination conditions [32].
Scenes with multiple objects are characterized by object occlusions under several views, complex illumination conditions due to multiple reflections and shadows, as well as a variety of object shapes and surface properties.
In the image acquisition part, in order to reduce the influence of the external complex illumination condition on the track surface defect detection system, the shading hoods and the auxiliary LED light source were added to provide a stable light environment for image capture.
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To detect object from complex background, illumination variations and texture by machine is very difficult but important for adaptive information service.
Compared with other related works, this framework has the following advantages: (1) only one single frontal face is required for face recognition, which avoids the burdensome enrollment work; and (2) the synthesized face samples provide the capability to conduct recognition under difficult conditions like complex pose, illumination and expression.
Complex backgrounds, uneven illumination, and presence of almost unlimited number of text fonts, sizes, and orientations pose great difficulties even to state-of-the-art text detection methods.
Contemplating the common functionality of forces in previous active contours models, we propose the geometric attraction-driven flow (GADF), the binary edge function, and the binary balloon forces to detect objects in difficult cases such as varying illumination and complex shapes.
The extraction of retinal image network of blood vessels becomes a difficult problem in the retinal image processing and analysis [ 4– 6] for the following reasons: (1) the retinal blood vessel is full of small blood vessels; (2) the network of blood vessels is complex; and (3) the illumination is uneven when acquiring images leading to the fact that the retinal image contrast is low.
Further attractions included the building (1895) of the 520-foot (158-metre) Blackpool Tower, a regional landmark modeled on the Eiffel Tower in Paris, and the introduction of illuminations, a complex decoration of seafront buildings by coloured lights and tableaux.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com