KumarDepartmentP.DepartmentSeetalDepartmentN.DepartmentNatarajanDepartmentInternational Journal of Engineering StudiesN. Natarajan1*, P. Seetal2 and G. Suresh Kumar1," Robust Image Segmentation Based on Optimal Thresholding", ISSN 0975- 6469 Volume 2, Number 2 (2010), pp. 135-144.
Image segmentation algorithms based on thresholding are mainly divided into OTSU algorithm, adaptive thresholding algorithm, etc. Among them, OTSU algorithm is widely used because it has the characteristics of small computation and high operation efficiency. This algorithm assumes that threshold \(R\) ...
Image segmentation by thresholding is the classic technique that is still used widely in many applications of pattern recognition and computer vision. The main advantage is its simplicity and good efficiency. The paper suggests an image segmentation method based on wavelet domain gray stretch when the...
Many segmentation methods have been brought forward to deal with image segmentation, among these methods thresholding is the simple and important one. To overcome shortcoming without using space information many thresholding methods based on 2-D histogram are often used in practical work. These methods...
Image thresholding segmentationMultilevel thresholdingSpectral clusteringDcut 图像阂值分钊,多阂值,谱聚类,DcutThe thresholding is an important form of image segmentation and is used in many applications that involve image processing and object recognition. hhus, it is crucial to how to acquire a ...
The Jaccard index is a standard metric to measure the performance of the models for performing segmentation tasks. It is working based on calculating the intersection and union of two sets, in our case, the ground truth and our predicted label. The ration can be defined as the number of tru...
Image thresholding isolates objects or other relevant information in digital images. Learn more with related examples, videos, and other resources.
This chapter is devoted to one of the important application of FODPSO, which is related to introducing a novel thresholding-based segmentation method based on FODPSO for determining the n 1 optimal n-level threshold on a given image. This approach has been widely used in the literature for ...
As a conventional method, thresholding is the easiest method for segmentation of an image based on intensity value of the pixel: each pixel is assigned to one of two classes according to whether or not its intensity value is higher than a specified threshold (Oliva et al., 2014). ...
[4] first used the circle Hough transform to detect wells and then extracted colonies based on local adaptive thresholding. Torelli et al. [5] proposed a supervised multithresholding segmentation method aided by a feedback-based watershed algorithm. Sergioli et al. [6] regarded colony ...