Techniques were developed for automated detection and characterization of dermatoscopic
structures, including the pigment network and brown globules. These techniques …

Improved methods for computer-aided analysis of identifying features of skin lesions from
digital images of the lesions are provided. Improved preprocessing of the image that 1) …

Surface defect inspection for underwater structures is important. However, the inspection
technologies based on passive vision cannot meet accuracy requirements. In this paper, we …

Accurate Road feature extraction from multispectral images tends to be difficult due to the
technical challenges posed by the data. The field of study has extreme importance with …

This paper proposes a method for road centerline extraction from dense Global Navigation
Satellite System (GNSS) trajectories, collected by using low-cost GNSS-devices, ie …

We propose in this paper an automated structural method for the pigment network detection
in dermatoscopic images. The first module of the proposed method consists in extracting the …

In this paper we present a novel algorithm for the detection of dark linear structures, which
appear in digital dermoscopy images of skin lesions and they are called as streaks in …

Modern, high-speed, railway transportation requires rails to conform strictly to requirements
specified in various standards. One key requirement is the conformance of the dimensions of …

Background/aims: Procedures have been developed for automated analysis of the pigment
network in dermatoscopic images. These procedures perform complete network …

摘# 要# 视盘定位与分割对利用眼底图像进行眼科计算机辅助诊断十分重要.
视觉注意机制模拟人类视觉系统从而能在复杂场景中快速定位目标. 利用视盘在眼底图像中视觉 …