Results 51 to 60 of about 817 (176)
IET Image Processing, Volume 20, Issue 1, January/December 2026.We present an improved U‐Net augmented with a Convolutional Block Attention Module (CBAM) for road lane segmentation, enabling dynamic focus on salient spatial and channel‐wise features in complex, noisy scenes. On the KITTI dataset, our model attains IoU = 0.9238 and accuracy = 0.9864 on validation, outperforming baseline U‐Net variants while ...
Pooya Bazrafshan +2 more
wiley +1 more source
Row Crop's Identication Through Hough Transform using Images Segmented by Robust Fuzzy Possibilistic C-Means [PDF]
, 2011 The Hough transform (HT) is a widely used method for line detection and recognition, due to its robustness. But its performance is strongly dependent on the applied segmentation technique.
Valero Ubierna, Constantino +2 more
core
IET Information Security, Volume 2026, Issue 1, 2026.Traditional security methods need to be improved as a result of security difficulties over time. Biometrics was introduced as a result of this. The sclera has been an area of extensive study recently as far as biometrics is concerned. This is because it is accurate; nevertheless, the application of this biometric feature has been limited by its ...
Jide Kehinde Adeniyi +6 more
wiley +1 more source
A study of hough transform for weld extraction
, 2010 The process of joining metals is called welding. At times, selecting a poor quality material or improper usage of welding technologies may cause defects in welded joints.
Gunaseelan, Rakesh
core +1 more source
Enhancing Rail Transit Safety: Edge Computing‐Based Driver State Monitoring System
IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.This article presents an edge computing‐based driver state monitoring system designed to enhance rail transit safety by analyzing real‐time data on driver identity, posture, and behavior. Leveraging facial recognition and AI‐driven detection methods, the system integrates edge and cloud computing to promptly identify unsafe conditions, enabling ...
Yiqing Liu +7 more
wiley +1 more source
Invariant Characterisation of the Hough Transform for Pose Estimation of Arbitrary Shapes
, 2002 In this paper we develop a new formulation and methodology for including invariance in a general form of the Hough transform. Essentially, the transformations that control a shape's appearance are extracted using invariance, for arbitrary shapes with a ...
Aguado, Alberto S. +2 more
core
Topics in Cognitive Science, Volume 18, Issue 1, Page 147-168, January 2026.Abstract Many core human activities require an understanding of time. To coordinate rituals, plan harvests and hunts, recall histories, keep appointments, and follow recipes, we need to grapple with invisible temporal structures like durations, sequences, and cycles. No other species seems to do this.
Kensy Cooperrider
wiley +1 more source
Advances in Civil Engineering, Volume 2026, Issue 1, 2026.Water pipe systems, which are a type of social infrastructure, provide essential services for human life. However, as they are buried underground, access is limited, causing considerable difficulty in internal exploration for maintenance. Previous defect detection in sewer pipes is relatively straightforward due to stable camera positioning and clear ...
Ga On Kwon +2 more
wiley +1 more source
Combinatorial Fuzzy Hough Transform and Its Application to Medical Image Processing
, 1995 ハフ変換はノイズに埋もれた画像から直線を検出する有効な手法である.しかし, 従来のハフ変換ではノイズが多くなると直線を検出するのが困難になる.本論文では, ノイズの多い画像中の, いわゆるぼやけた直線や, 有界な線分(始点と終点)をも検出できる組合せファジィハフ変換を提案する.さらに, この手法を拡張しノイズに埋もれた円の検出も可能にした.本手法の有効性は細胞診に用いる顕微鏡画像への適用により確認された.Hough transform is an effective method for line ...
松山, 敏剛 +5 more
core +1 more source
Fuzzy Hough Transform without Deletion of Detected Line Data
The Journal of the Institute of Image Information and Television Engineers, 2005 In conventional fuzzy Hough transforms, lines are detected using a sequential iteration method that deletes data points on the detected lines. Detecting another line intersecting the detected lines is difficullt because some data points have been deleted in the previous process.
Ono, Naoki, Urahama, Kiichi
openaire +2 more sources