Sentence examples for rotational image from inspiring English sources

However, pure rotational image motion neglects the spatial structure of the environment as an important determinant of the natural retinal image flow, since only the retinal image motion induced during translational self-motion depends on the distance to objects and their position relative to the motion direction (Koenderink, 1986).

Finally, sufficient rotational images need to be obtained to produce reconstruction that reflects equal spatial resolution as the transmission images.

This work shows the feasibility of a direct tumor tracking technique for rotational images, and demonstrates that an accurate 3D tumor trajectory can be reconstructed from relatively less accurate tracking results.

It was also very difficult to generate rotational images precisely with very small known rotational differences (e.g., 1 or 2°) by the bicubic interpolation.

Three medical images were selected for the test including brain T1 MRI, head CT, and prostate MR images as shown in Figure 8. Rotating one test image with a synthetic rotational angle by the bicubic interpolation would generate its rotated image for the rotational estimation.

The test results of rotational differences between image pairs shown in Figure 8 were reported in Table 1.

Various protocols have been developed for translational and rotational alignment of image data sets.

Although the imposition of rotational averaging generated images that closely resemble their parent projection, the image with imposed 5-fold rotational symmetry most accurately matches the structural interpretation of the nanoparticle described above.

It was assumed that the ground truths of rotational differences between images were acquired by computer generation, so the first image was rotated by a fixed degree using the bicubic interpolation to generate the third image.

This conclusion is different from that of the Oxford dataset, because in the MSP dataset, all images are taken with MSPs laying down on the ground, and there is little rotational variation in images.

Since the proposed method did not require any feature extraction or segmentation for preprocessing to acquire the rotational difference between images, it was efficient and simple for preregistration of both monomodality and multimodality images.