Recently introduced parallel DSPs can be used for all levels of image processing operations and they provide easy development of a parallel system.
Section 3 discusses applications of image processing and level sets within the maritime surveillance environment.
Presented solution integrates 3 classical stages of image processing: pre-processing, medium level analysis (Le. segmentation, labeling), pattern recognition and classification performed by an artificial neural network.
As the main tasks of image processing, this paper introduces gray-level transformation, binarization, image filtering, image segmentation, visual object tracking, optical flow and image registration.
A summary of image processing is shown in Supplementary Fig. 2. Image processing was carried out using the RELION 2.0/2.1 pipeline33.
In the context of image processing, it is an indication of the complexity of an image.
for the purpose of image processing.
Image filtering is often the first step of image processing.
Successive stages of image processing are presented in Fig. 6a d.
b) Ensuring the absence of image processing artifacts.
The initial steps of image processing and classification were performed using the Appion image processing environment (Lander et al., 2009).
