نتایج جستجو برای: Edgedetection

تعداد نتایج: 20  

2015

Face Detection for Skintone Images Using Wavelet and Texture Features Written by Administrator Wednesday, 16 March 2011 09:26 Last Updated Monday, 21 March 2011 06:50 Images with Skin-tone regions pose new challenges in face detection problem. Paper presents a novel detection algorithm that uses a combination of colour spaces and edgedetection for segmentation followed by texture feature analy...

2015

Face Detection for Skintone Images Using Wavelet and Texture Features Written by Administrator Wednesday, 16 March 2011 09:26 Last Updated Monday, 21 March 2011 06:50 Images with Skin-tone regions pose new challenges in face detection problem. Paper presents a novel detection algorithm that uses a combination of colour spaces and edgedetection for segmentation followed by texture feature analy...

2015

Face Detection for Skintone Images Using Wavelet and Texture Features Written by Administrator Wednesday, 16 March 2011 09:26 Last Updated Monday, 21 March 2011 06:50 Images with Skin-tone regions pose new challenges in face detection problem. Paper presents a novel detection algorithm that uses a combination of colour spaces and edgedetection for segmentation followed by texture feature analy...

2015

Face Detection for Skintone Images Using Wavelet and Texture Features Written by Administrator Wednesday, 16 March 2011 09:26 Last Updated Monday, 21 March 2011 06:50 Images with Skin-tone regions pose new challenges in face detection problem. Paper presents a novel detection algorithm that uses a combination of colour spaces and edgedetection for segmentation followed by texture feature analy...

Journal: :European heart journal 2000
F Alfonso

overlooked in most patients with acute coronary syndromes. On the other, we have learned that the arterial wall is able to experience ‘remodelling’, which further confuses our interpretation of serial angiographic lumen changes. Although many lesions occur in the setting of positive remodelling (which eventually fails to compensate for plaque growth), others are produced by negative remodelling...

2009
Pardeep Garg Abhinav Gupta M. C. Srivastava Ankur Gupta Nikunj Agarwal

In this paper the edge-directed error diffused digital halftoning in noisy media is analyzed. It is known that there occurs error in transmitting data through a communication channel due to addition of noise, generally additive white Gaussian noise (AWGN). The proposed work employs Steerable stochastic error diffusion (SSED) approach, a hybrid scheme that utilizes the advantages of Steerable fi...

2014
Jih-Gau Juang Ko-Jui Hsu Chih-Min Lin

This study entailed applying image-processing techniques and an intelligent control method to a wheeled mobile robot (WMR) for real-time trajectory recognition and tracking. The WMR was fitted with a charge-coupled device (CCD) camera to capture images of the environment, and the hue-saturationintensity color space was used to classify the color features of the captured images. The WMR calculat...

2005
Hua-Sheng Hsu Wen-Hsiang Tsai

Edge detection plays an important role in many applications, such as industrial inspection, pattern recognition, scene analysis, image coding, etc. Since human visual perception is sensitive to edges and contours, we can simplify shape analysis and perform more accurate object recognition if the boundary of an object can be extracted successfully. In addition, image data compression is crucial ...

2012
Allam Mousa

Vehicle plate recognition is an effective image processing technique used to identify vehicles' plate numbers. There are several applications for this technique which expand through many fields and interest groups. Vehicle plate recognition may be used as a marketing tool, for purposes of traffic and border control, for law enforcement, and travel. Many methods have been proposed to facilitate ...

2016
Daniel Leeds Ivan Iotzov

The translation of retinal images into recognizable objects and scenes is not yet well understood. Beyond edgedetection in primary visual cortex, higher stages of cortical representation are still uncertain. We use a multi-layer convolutional neural network (Krizhevsky, 2012) to provide models for visual selectivities in the ventral visual pathway. We examine individual neural units, or ”kernel...

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