Sentence examples for differential images from inspiring English sources
In surveillance systems that perform object detection using images from a static camera, differential images are used to locate the region of interest (ROI).
The SAM (synthetic aperture magnetometry) beamformer algorithm was used to create differential images of source power (pseudo-T statistics) for 1 s of baseline (−1 to 0 s) compared with 1 s of visual stimulation (0 to 1 s).
Typical images of the interaction of the antibody (4.8 nM) as it flows across the spots containing the immobilised GAD65 protein are shown in Figure 2. The images are differential images and are taken every two seconds during the experiment.
2-min videos of individual larva were recorded, converted into differential images and total number of dynamic pixels per frame were plotted against time (Fig. 3A).
Indeed, a pioneering study indicated that a divergence in ERP waveforms to target- vs. non-target differential images, observed at frontal electrode sites only, did not develop earlier than about 150 ms after image onset [ 43].
2-min video sequences were recorded with a Sony CCD AVC-D7CE b/w camera, converted into stacks of differential images [25] and 3 × 3 median filtered to eliminate pixel noise.
The feature-enhanced SAR imaging approach [26, 27] exploits the sparsity of both image and differential image via the l p (0 < p ≤ 1) optimization to enhance the point and region feature of the radar image.
We monitored contractile activity as a means of evaluating functional sarcomere establishment using the differential image subtraction (DIS) method.
Original image is then completely recoverable using differential cryptanalysis with single differential image represented as a set of M.N linear equations solvable with O((M.N 3) complexity.
We show how a differential image pyramid is first constructed using traditional interpolation methods, then how a vector quantizer is designed using the pyramidal data.
In this paper, we introduce a novel (differential) image separation algorithm that separates mixed images by extracting the components of the images using a pyramid technique.
