Useful for human visual perception, edge detection remains a crucial stage in numerous
image processing applications. One of the most challenging goals in contour detection is to …

Digital image processing (DIP) is carried out to produce an altered image that is more
suitable for the intended application. Image filtering and image warping are considered to be …

Oral mucosal lesions (OML) and oral potentially malignant disorders (OPMDs) have been
identified as having the potential to transform into oral squamous cell carcinoma (OSCC) …

An accurate and accessible image segmentation method is in high demand for generating
3D bone models from CT scan data, as such models are required in many areas of medical …

In this work, we approach the analysis and segmentation of tire laser shearography image
by combining curvelet transform and Canny edge detection to detect defects in tire surface …

Undoubtedly, Low-Altitude Unmanned Aerial Vehicles (UAVs) are becoming more common
in marine applications. Equipped with a Global Navigation Satellite System (GNSS) Real …

In digital images, edges characterize object boundaries, so edge detection remains a crucial
stage in numerous applications. To achieve this task, many edge detectors have been …

This paper presents a nonlinear derivative approach to addressing the problem of discrete
edge detection. This edge detection scheme is based on the nonlinear combination of two …

Figure of merit represents an expression characterizing the performance of an algorithm. In
edge detection assessment, it corresponds to a supervised evaluation by quantifying …

The extraction of robust features for comparing and analyzing time series is a fundamentally
important problem. Research efforts in this area encompass dimensionality reduction using …