Novel Approach for Baseline Detection and Text Line Segmentation

KeshavarzBahaghighat, Mahdi; Mohammadi, Javad

doi:10.5120/8013-1039

Cited by 10 publications

(7 citation statements)

References 18 publications

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“…From the morphological point of view, the turbine blade object is a directional pattern with known inter ridge spacing. There are a lot of approaches in the literature for example Radon Transform [21], Hough Transform and Gabor Wavelet Transform (GWT) [22] to analysis directional pattern. Among all mentioned methods, GWT has special and unique properties.…”

Section: Proposed Gabor Wavelet Feature Extraction Methods For Blade Dmentioning

confidence: 99%

Vision inspection and monitoring of wind turbine farms in emerging smart grids

Bahaghighat

Motamedi

2018

FACTA U EE

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Todays, Smart Grids as the goal of next generation power grid system span wide and new aspects of power generation from distributed and bulk power generators to the end-user utilities. There are many advantages to develop these complex and multilayer system of systems such as increasing agility, reliability, efficiency, privacy, security for both Energy and ICT sections in smart grid architecture. In emerging smart grids, the communication infrastructures play main role in grid development and as a result multimedia applications are more practical for the future power systems. In this work, we introduce our method for monitoring and inspection of Wind Turbine (WT) farms in smart grids. In our proposed system, a thermal vision camera is embedded on a wireless sensor node for each WT to capture appropriate images and send video streams to the coordinator. It gets video frames to perform machine Vision Inspection (VI) and monitoring purposes. In our constructed model, turbine blade velocity estimation is targeted by detecting two important landmarks in the image that are named hub and blade. By tracking the blade in the consecutive frames and based on proposed scoring function, we can estimate the velocity of the turbine blade. Obtained results clearly indicate that accurate hub and blade positions extraction lead to error free estimation of turbine blade velocity.

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Section: Proposed Gabor Wavelet Feature Extraction Methods For Blade Dmentioning

confidence: 99%

Vision inspection and monitoring of wind turbine farms in emerging smart grids

Bahaghighat

Motamedi

2018

FACTA U EE

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“…There are a lot of image processing approaches to enhance quality of images and videos [32,[86][87][88][89][90] but at the first, its metric should be defined. Now, well-known metrics for assessing the quality of images and videos are VQM (Video quality measurement), PVQM (Perceptual video quality measure), MPQM (Moving picture quality metrics), SSIM (Structural Similarity Index), MSSIM (Mean SSIM), FSIM (feature-similarity), PSNR (Maximum signal to noise ratio), and HVS (human visual system) [85,[91][92][93].…”

Section: Performance Evaluation Metric For the Proposed Image Transmimentioning

confidence: 99%

Image Transmission over Cognitive Radio Networks for Smart Grid Applications

2019

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Today, Smart Grids (SGs), as the goal of the next-generation power grid system, span extremely wide aspects from power generation to end-user utilities. In smart grids, Energy and Information flows are mutually dependent and performance degradation of one side may have a high impact on the other side. In this work, we introduce our architecture for monitoring of Wind Turbine (WT) farms in smart grids. In our proposed system an industrial camera is embedded on a Wireless Cognitive Radio node for each WT to capture appropriate images and stream videos to the cognitive coordinator. Any packet loss in transmission between an embedded cognitive node and the coordinator can degrade peak signal-to-noise ratio (PSNR) of the received images. The image streaming is a delay sensitive transmission which should be done in harsh environments in SGs. To tackle these challenging issues, we introduce our efficient model, called JOPSS, for joint optimization of both packet size and Number of Spectrum Sensing Iterations (NSSI) during image transmission in time-restricted conditions. We define our proposed objective function as the quotient of the Overhead Time and the Effective Transmission Time (ETT). In addition, we introduce our methods based on the Minimum of Overhead Time Channel Selection (MOTS) for the efficient channel selection along with Dynamic Parameter Updating Procedure (DPUP) to benefit different strategies in Mandatory and Proactive Handoffs (MHO/PHO). The obtained results show that noticeable improvements in both PSNR and feature-similarity (FSIM) can be achieved on our models JOPSS and JOPSS-SAFE, respectively.

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“…For instance, intersections in a written word are usually located on the baseline (a virtual line on which semi cursive or cursive text are aligned/joined [6]), and are dispersed in the form of group of pixels and represent a lower portion compared to the area of the word. By contrast, in arbitrary noisy patterns the amount of intersections is expected to be much higher.…”

Section: Proposed Methodsmentioning

confidence: 99%

Approach for Arabic Handwritten Image Processing: Case of Text Detection in Degraded Documents

Boulid¹,

Elkettani²

2014

IJCA

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This study presents a new approach for processing of Arabic handwritten documents based on the extraction of characteristics and mechanisms involved in the process of human visual perception. The architecture which has been developed is based on the concept of multi-agent systems, allowing the integration of different stages of character recognition process in a cooperative way. This is illustrated using as example the prepossessing of binary noisy document. Therefore, a method was proposed, in order to distinguish between text and non-text components, using a new geometric primitives extracted from the analysis of the characteristics of Arabic script. Results show pixel-level precision and recall respectively of 98% and 93% for noise removal. This proves the effectiveness of the proposed approach in processing degraded documents and, consequently, improving the recognition performance.

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Novel Approach for Baseline Detection and Text Line Segmentation

Cited by 10 publications

References 18 publications

Vision inspection and monitoring of wind turbine farms in emerging smart grids

Vision inspection and monitoring of wind turbine farms in emerging smart grids

Image Transmission over Cognitive Radio Networks for Smart Grid Applications

Approach for Arabic Handwritten Image Processing: Case of Text Detection in Degraded Documents

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