table = np.array([ i*brightness_factorforiinrange (0,256)]).clip(0,255).astype('uint8')# same thing but a bit slower# cv2.convertScaleAbs(img, alpha=brightness_factor, beta=0)ifimg.shape[2] ==1:returncv2.LUT(img, table)[:,:,np.newaxis]else:returncv2.LUT(img, table) 開發者...
convertScaleAbs(img, alpha=brightness_factor, beta=0) if img.shape[2]==1: return cv2.LUT(img, table)[:,:,np.newaxis] else: return cv2.LUT(img, table) Example #9Source File: utils.py From answer-sheet-scan with MIT License 6 votes def get_init_process_img(roi_img): """ 对...
The stacks were resliced with a factor of four along the z-axis. 3D maximum intensity projections were generated with Fiji (projection method: brightest point, 360° rotation angle, angular increments were set at 1° or 10°). The multi-view registration and fusion of the organoid stack ...
table = np.array([ i*brightness_factorforiinrange (0,256)]).clip(0,255).astype('uint8')# same thing but a bit slower# cv2.convertScaleAbs(img, alpha=brightness_factor, beta=0)ifimg.shape[2] ==1:returncv2.LUT(img, table)[:,:,np.newaxis]else:returncv2.LUT(img, table) 开发者...
Joint estimation of image rotation angle and scaling factor. In Proceedings of the 2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Tokyo, Japan, 14–17 December 2021; IEEE: Piscataway, NJ, USA, 2021; pp. 1716–1721. [Google Scholar] ...
Frost Filtering Algorithm of SAR Images with Adaptive Windowing and Adaptive Tuning Factor. IEEE Geosci. Remote Sens. Lett. 2020, 17, 1097–1101. [Google Scholar] [CrossRef] Quegan, S.; Yu, J.J. Filtering of Multichannel SAR Images. IEEE Trans. Geosci. Remote Sens. 2001, 39, 2373–...
In particular, in the context of assessment of a temporal signal, we use the well-known location-scale-dependent intermittency indicator introduced in [2,3], named as the ‘local intermittecy measure’, as well as its scale-dependent temporal average, called the ‘flatness factor’ by ...
A common factor limiting the usability of both DMPs and DAPs is the lack of efficient means for handling the massive input-data size. The memory load and computation-time of standard iterative methods increase linearly with respect to both input image size and the number of scales used [8,...
,(hm,wm)} denote the scale factor of the height and width of the feature maps adopted by the m resizing operator. The combination of the i-th scale and j-th channel yield the ij-th multiscale feature maps, as shown in Equation (1): 𝑦𝑖𝑗=𝐹𝑗(𝑅𝑒𝑠𝑖𝑧𝑒ℎ...
Dilatancy is a critical factor governing the generation and propagation of micro-cracks that lead to macroscopic shear crack propagation [33]. Samples subjected to lower confining pressures experience easier generation and the propagation of micro-cracks. Consequently, with increasing confining pressure, ...