Results 21 to 30 of about 167,358 (260)
LSD: a Line Segment Detector [PDF]
LSD is a linear-time Line Segment Detector giving subpixel accurate results. It is designed to work on any digital image without parameter tuning. It controls its own number of false detections: On average, one false alarms is allowed per image. The method is based on Burns, Hanson, and Riseman's method, and uses an a-contrario validation approach ...
Rafael Grompone von Gioi +3 more
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A PDE Method to Segment Image Linear Objects with Application to Lens Distortion Removal
In this paper, we propose a partial differential equation based method to segment image objects, which have a given parametric shape based on energy functional.
Moumen T. El-Melegy, Nagi H. Al-Ashwal
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Handwriting-Based Text Line Segmentation from Malayalam Documents
Optical character recognition systems for Malayalam handwritten documents have become an open research area. A major hindrance in this research is the unavailability of a benchmark database. Therefore, a new database of 402 Malayalam handwritten document
Pearlsy P V, Deepa Sankar
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The paper introduces a testing framework for the evaluation and validation of text line segmentation algorithms. Text line segmentation represents the key action for correct optical character recognition. Many of the tests for the evaluation of text line
Zoran N. Milivojevic +2 more
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Research on Lane Line Detection Algorithm Based on Instance Segmentation
Aiming at the current lane line detection algorithm in complex traffic scenes, such as lane lines being blocked by shadows, blurred roads, and road sparseness, which lead to low lane line detection accuracy and poor real-time detection speed, this paper ...
Wangfeng Cheng +2 more
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Basic Test Framework for the Evaluation of Text Line Segmentation and Text Parameter Extraction
Text line segmentation is an essential stage in off-line optical character recognition (OCR) systems. It is a key because inaccurately segmented text lines will lead to OCR failure. Text line segmentation of handwritten documents is a complex and diverse
Darko Brodić +2 more
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Aiming at the problem that the rubber tapping robot finds it difficult to accurately detect the tapped area and locate the new tapping line for natural rubber trees due to the influence of the rubber plantation environment during the rubber tapping ...
Yaya Chen +5 more
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An efficient, font independent word and character segmentation algorithm for printed Arabic text
Characters segmentation is a necessity and the most critical stage in Arabic OCR system. It has attracted the interest of a wide range of researchers. However, the nature of the Arabic cursive script poses extra challenges that need further investigation.
Aziz Qaroush +5 more
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MT-TPPNet: Leveraging Decoupled Feature Learning for Generic and Real-Time Multi-Task Network
Transportation panoptic perception (TPP) is a fundamental capability for both on-board and roadside monitoring systems. In this paper, we propose an end-to-end lightweight multitask model, MT-TPPNet, which jointly performs three tasks: object detection ...
Xiaokun Tang +3 more
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In the actual operation of urban rail vehicles, it is essential to evaluate the condition of the traction converter IGBT modules. Considering the fixed line and the similarity of operation conditions between adjacent stations, this paper proposes an ...
Lei Wang +4 more
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