This technique is; in fact, an improved version of our previously developed auto-classification algorithm by extending it by exploiting the Otsu ' s multi-level thresholding method. The detailed derivation and the brief steps of the proposed algorithm are given. The proposed algorithm is tested ...
In this paper, a new image segmentation algorithm based on Otsu thresholding. One of attractive feature of this algorithm is its ability of processing noised images. The framework contains three steps: the image to be segmented is first denoised using PCNN (Pulse Coupled Neural Network); then ...
IMAGE SEGMENTATION TECHNIQUES AND GENETIC ALGORITHM OTSU method ofthresholding is also used for image segmentation but it alsosuffers from thresholding problems. Genetic algorithms areparticular methods for ... BS Dinesh Maru - 《International Journal of Advanced Research in Computer Engineering & Technolog...
The raw camera data was converted to a grayscale image and image smoothing was achieved using a Gaussian blur filter, the Sobel edge detection operator, non-maximum suppression, Otsu thresholding, the minor square filter, and the extraction of the region of interest. We tested this algorithm ...
Therefore, in this study, we propose an optimized maximum between-class variance thresholding method (OTSU) segmentation algorithm based on the Gray Wolf Optimization (GWO) algorithm, which accelerates the segmentation speed by optimizing the threshold determination process using OTSU. The experimental ...
Otsu’s method is a global image thresholding algorithm. Otsu’s Thresholding Concept Automatic global thresholding algorithms usually have following steps. Process the input image Obtain image histogram (distribution of pixels) Compute the threshold value Replace image pixels into white in those reg...
Therefore, in this study, we propose an optimized maximum between-class variance thresholding method (OTSU) segmentation algorithm based on the Gray Wolf Optimization (GWO) algorithm, which accelerates the segmentation speed by optimizing the threshold determination process using OTSU. The experimental...
Methods based on intelligent techniques are the most used such as Genetic Algorithm (GA), Ant Colony Optimization (ACO), Artificial Bee Colony (ABC), and Particle Swarm Optimization (PSO) called metaheuristics algorithms. In this paper, we describe a novel method for segmentation of images based...
Otsu, Mask R-CNN, and Panicle-Mask represent the segmentation method based on Otsu thresholding, detection and segmentation based on the Mask R-CNN, and detection and segmentation based on the improved Mask R-CNN combined with the Otsu thresholding algorithm. As shown in Figure 6, all three ...
Multi-component segmentation of X-ray computed tomography (CT) image using multi-Otsu thresholding algorithm and scanning electron microscopy. Energy Explor. Exploit. 2017, 35, 281–294. [Google Scholar] [CrossRef] [Green Version] Shannon, C.E. A Mathematical Theory of Communication. Bell Syst....