… Based on the above analysis, this study proposes three enhancement strategies for the …
greenery in road medians, and incorporating multi-level vegetation to fill the green gap, creating …

… Metaheuristic algorithms: A comprehensive review. In … -based multilevel thresholding system
for color image segmentation using Masi entropy. Circuits, Systems, and Signal Processing …

… , by moving threshold and extended minima … segmentation is implemented based on
multi-level markers and gradient reconstruction, and segmentation result of the original image is …

… method was compared with four automatic threshold segmentation methods, two clustering
segmentation methods, … The ICM algorithm for multi-level threshold selection by maximum …

… , which is a multi-level model combining Otsu with additional information from multiple images.
G-Otsu … Social spider optimization based optimally weighted Otsu thresholding for image …

… An AutoAdapt Multi-level Threshold Segmentation Method of Ships Detection in Remote … :
Existing methods from different perspectives such as extracting richer features, multi⁃level and …

… image features,gen⁃ erate local novel image threshold technology. The technique proposed
in this paper is verified by extensive experiments in different real images. Compared with …

… In particular, it improves the performance of architectures with multi-level stages, such as
YOLOV4. YOLOv4 also uses SPP [34] block to extend the receptive field and separate the most …

… The most significant advantage of MRI over other imaging techniques like x-rays or CT
scans is that patients are not in danger of radiation exposure. In this process, you lie down on a …

… multi-level denoising strategy to significantly increase the image contrast of cataractous retinal
images… The ROI for fundus image (a) is obtained using the threshold method and is shown …