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...
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 ...
Morphological enhancement improved Otsu algorithm infrared image grayscale inversion adaptive iterative thresholding 1. Introduction Monitoring and maintaining the health of WTB has long been one of the challenges facing the global wind energy industry [1]. The blade is one of the core components of ...
Adaptive thresholding algorithm: efficient computation technique based on intelligent block detection for degraded document images Pattern Recognition (2010) J. Sauvola et al. Adaptive document image binarization Pattern Recognition (2000) S. Tabbone et al. Multi-scale binarization of images Pattern Recogn...
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...
Here, the chosen FCM to separate the teeth regions commencing on the preceding steps. A Semi-supervised Hyperbolic Tangent Gaussian kernel Fuzzy C-Means algorithm (HTGkFCM) is preferred so as to increase an outcome that is optimum than compared to the traditional methods. So, current method is...
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...
Here, the chosen FCM to separate the teeth regions commencing on the preceding steps. A Semi-supervised Hyperbolic Tangent Gaussian kernel Fuzzy C-Means algorithm (HTGkFCM) is preferred so as to increase an outcome that is optimum than compared to the traditional methods. So, current method is...
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, 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 ...