OBJECTS 8043 Accordion 55, Alarm clock 96, Audio cassette 43, Award cup 104, Award, trophy 81, Baby rattle 37, Bagpipes 23, Balloon 47, Balloon dog 28, Bandage 119, Barrel 45, Bear trap 18, Bell 171, Book 152, Bottle 75, Brick 18, Brushes 55, Bucket 22, Bulb 39, Cage 54, Cand...
1. The images you are classifying might not all be the same size. 2. Your images might have different numbers of channels - some images could be RGB while others are grayscale. 3. There could be images with incompatible formats within your dataset. ...
This can be especially useful for tasks that require the processing of large numbers of images, or for tasks that need to be performed on a regular basis. In addition to its core image manipulation capabilities, ImageMagick also includes a number of other features, such as support for ...
with a high-resolution periodic structure11,12. Moreover, S(T)EM images obtained through high-speed scans (dwell time < 1 μs13) may display a non-uniform scan speed along individual scan lines resulting in a smearing effect that produces another type of nonlinear distortion. While th...
(See Methods for precise description of the loss function with Supplementary Fig. 1.) The elastic regularizer penalizes the network from canceling out natural independent motion of biological objects. Since nonsmooth transformations are required at cracks and folds, these defects are detected by another...
In other words, the color depth indicates the maximum number of potential colors that can be used in an image. An 8-bit color depth uses the numbers 0-255 (or an 8-bit byte) for each color channel in a pixel. This means a 1024×768 image with a single channel (black and white) ...
Firstly, the low resolution feature maps from the stage Si are resized to the same size H×W with the input image by using bilinear interpolation up-sampling. Then all high resolution feature maps are reduced to a feature map by using 1×1 convolutions. Finally each pixel value of the ...
1. Introduction Numerous optical satellites provide massive numbers of images observed from varied sensors, at different time, spectral resolutions, and spatial resolutions. Matching these images is a necessary preprocessing step in remote sensing applications including image registration, 3D image reconstruct...
Affectively rated image databases have their main application in studies that require inducing distinct stimuli on subjects. Widespread databases are designed to cover a broad range of stimuli, from negative to positive (valence), and relaxed to excited
For comparison, we also implemented the well-known U-Net using the same numbers of convolutional filters and pooling layers as described in the original paper30, but using a different convolution operation dimension (3D instead of 2D) of and input and output sizes (both 32 × 32 ×...