Under studying the principle of the Otsu method, an improved threshold image segmentation algorithm based on the Otsu method is developed. Because the optical threshold should near the cross where the object and the background intersect, the probability of occurrence at the threshold value should ...
Image segmentationMulti-level thresholdReptile search algorithmOtsu method, Kapur methodImage segmentation using bi-level thresholds works well for straightforward scenarios; however, dealing with complex images that contain multiple objects or colors presents considerable computational difficulties. Multi-level ...
Finally, the minimum chassis and road height and the maximum roll Angle are added to the objective cost function of the traditional A* algorithm. An improved A* algorithm plans a four-wheel straddling path through the longitudinal ditch in the safe standing sequence. Simulation experiments prove ...
However, watershed segmentation is often not effective for Synthetic Aperture Radar (SAR) images which are generally corrupted by coherent speckle noise. This paper presents a novel approach for SAR image segmentation using watershed segmentation algorithm combined with Otsu. The aim of this study is ...
In addition, a modified firefly algorithm was proposed in33 for image processing, and used the Kapur and Otsu methods as objective functions. In34, ant colony optimization was used in image segmentation based on a multi-threshold image segmentation method with Kapur entropy and a non-local two-...
introduced into the YOLOv5 network model; second, it is improved on the basis of the traditional threshold segmentation method, which is replaced by proportional threshold; finally, the YOLOv5 network model is combined with the improved flame segmentation algorithm to classify and train flame images...
Segmentation of kidneys and abdominal images in mobile devices with the Android operating system by using the Connected Component Labeling method137 They proposed the use of blocking matching, 3D filtering, fast linking spiking critical model, and Otsu algorithm for processing before segmentation. After...
In Fig. 1, the main steps of the automatic image segmentation and ROIs selection algorithm are presented. For each selected slice, the breast region was identified and cropped in the second and third post-contrast subtraction image, followed by contrast enhancement and morphological filtering. The ...
The number of clusters was determined by the optimum of the modularity function from the Louvain algorithm. The number of mEGFP+ cells was then calculated for each cluster and this was used to filter untransformed cell clusters, mainly cluster 0 and cluster 2. Assignment of cell types to ...
Computer-Assisted Semen Analysis (CASA) enables reliable analysis of semen images, and is designed to process large number of images with high consistency, accuracy, and repeatability. Design and testing of CASA algorithms can be accelerated greatly if r