This study aims to explore the characteristics of gait initiation in stroke patients with hemiplegia across various phases by proposing a refined gait initiation phase segmentation method tailored to ...

Aiming at the problems of intensity inhomogeneity, boundary blurring and noise interference in the segmentation of three-dimensional volume data (such as medical images and industrial CT data). In ...

This project segments 9,999 high-value retail customers using RFM (Recency, Frequency, Monetary) methodology. The analysis identifies distinct customer groups and provides targeted business ...

No matter what type(s) of photography you like to pursue, mastering exposure is key to creating successful images. While it can be tempting to use your camera's screen to judge exposure, that display ...

Abstract: Brain malignant growth detection is eased using medical images and machine learning paradigms. This article introduces a differential region-based segmentation method to improve brain tumor ...

LiDAR (Light Detection and Ranging) is an essential device for capturing the depth information of objects. Unmanned aerial vehicles (UAV) can sense the surrounding environment through LiDAR and image ...

Abstract: This paper proposed an auto-adaptive threshold method of two-dimensional (2-D) histogram based on multi-resolution analysis (MRA), decreasing the calculation complexity of 2-D histogram ...