A novel method for the extraction of primary visual features from an image through intelligent feature descriptors
01 Oct 2017-
TL;DR: The traffic sign images were acquired from the image database and were subjected to some pre-processing techniques such as conversion of the original RGB images into HSV Color Space, Adjustment of the Contrast of the Color images as well as applying the Histogram of Oriented Gradients (HOG) algorithm in which the process of extraction and plotting of the HOG features from a given image is performed that is most popular amongst the feature extraction algorithms.
Abstract: As far as the safety of a driver is concerned, more focus should be put on correct interpretation and information which is conveyed by a traffic sign, while driving a vehicle along the road. A sign board can be thought of as an emblem which disseminates important and meaningful information regarding the potential hazards prevailing among road users comprising roadways cladded with snowfall, construction worksites or repairing of roads taking place and telling the people to follow an alternative route. It alerts the person who is passing through the road about the maximum possible extremity that his vehicle is trying to achieve indicating slowing down the speed of vehicle since chances of having collision cannot be ruled out. With constant increasing of the training database size, not only there cognition accuracy, but also the computation complexity should be considered in designing a feasible recognition approach. The traffic sign images were acquired from the image database and were subjected to some pre-processing techniques such as conversion of the original RGB images into HSV Color Space, Adjustment of the Contrast of the Color images as well as applying the Histogram of Oriented Gradients (HOG) algorithm in which the process of extraction and plotting of the HOG features from a given image is performed that is most popular amongst the feature extraction algorithms. In the future, we will concentrate on detecting, recognizing as well as classifying a particular sign board.
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01 Aug 2018
TL;DR: The traffic sign images were acquired from the image database and were subjected to some pre-processing techniques such as removing the noise present in a particular image with the help of Arithmetic Mean Filter as well as Geometric Mean Filter.
Abstract: As far as the safety of a driver is concerned, more focus should be put on correct interpretation and information which is conveyed by a traffic sign, while driving a vehicle along the road. A sign board can be thought of as an emblem which disseminates important and meaningful information regarding the potential hazards prevailing among road users comprising roadways cladded with snowfall, construction worksites or repairing of roads taking place and telling the people to follow an alternative route. It alerts the person who is passing through the road about the maximum possible extremity that his vehicle is trying to achieve indicating; slowing down the speed of vehicle since chances of having collision cannot be ruled out. With constant increasing of the training database size, not only the recognition accuracy, but also the computation complexity should be considered in designing a feasible recognition approach. The traffic sign images were acquired from the image database and were subjected to some pre-processing techniques such as removing the noise present in a particular image with the help of Arithmetic Mean Filter as well as Geometric Mean Filter. In the future, we will concentrate on detecting, recognizing as well as classifying a particular sign board.
Cites background or methods from "A novel method for the extraction o..."
...The circular sign board images are detected by making use of the colorbased and/or the shape-based methods, for example, if we consider the research work which is carried out by [21][22][23][24][25]....
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...There is an urgent need for incorporating an automatic system for the purpose of recognizing the sign boards and is considered to be a main factor for building an autonomous navigation system [19][22][23][24][25]....
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...An SVM segmentation approach for traffic sign recognition was given in [17][19][22][23][24], while in [18][19][22][23][25], an effective strategy helping in the process of recognizing slanted speed limit signs by extracting the rotation invariant features with the help of Fourier based wavelet descriptor was introduced....
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...If we take the example of digit-based methods, the process of extracting multiple characters for recognizing numerical portrait of velocity which is exhibited by a moving vehicle rather than classifying a complete sign board image treating it as a single entity is performed [18][22][24][25]....
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...rectangular sign board images [15][18][21][22][24][25]....
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References
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01 May 2017
TL;DR: The traffic sign images were acquired from the image database and were subjected to some pre-processing techniques such as conversion of original into gray scale images, filtering the images with the help of Averaging Filter, Wiener Filter, carrying out the operation of Unsharp Mask Filtering which consists of performing the conventional method of unsharp mask filtering as well as controlling the amount of sharpness with thehelp of certain parameters.
Abstract: As far as the safety of a driver is concerned, more focus should be put on correct interpretation and information which is conveyed by a traffic sign, while driving a vehicle along the road. A sign board can be thought of as an emblem which disseminates important and meaningful information regarding the potential hazards prevailing among road users comprising roadways cladded with snowfall, construction worksites or repairing of roads taking place and telling the people to follow an alternative route. It alerts the person who is passing through the road about the maximum possible extremity that his vehicle is trying to achieve indicating slowing down the speed of vehicle since chances of having collision cannot be ruled out. The traffic sign images were acquired from the image database and were subjected to some pre-processing techniques such as conversion of original into gray scale images, filtering the images with the help of Averaging Filter, Wiener Filter, carrying out the operation of Unsharp Mask Filtering which consists of performing the conventional method of Unsharp Mask Filtering as well as controlling the amount of sharpness with the help of certain parameters. In the future, we will concentrate on detecting, recognizing as well as classifying a particular sign board.
4 citations
"A novel method for the extraction o..." refers methods in this paper
...An SVM segmentation approach for traffic sign recognition was given in [10][12][16][19], while in [14][17][21][25], an effective strategy helping in the process of recognizing slanted speed limit signs by extracting the rotation invariant features with the help of Fourier based wavelet descriptor was introduced....
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01 Apr 2017
TL;DR: The traffic sign images were acquired from the image database and were subjected to some pre-processing techniques such as conversion of original into gray scale images, filtering the images with the help of Averaging Filter, Wiener Filter, and carrying out the operation of Unsharp Mask Filtering which consists of performing the conventional method of unsharp mask filtering.
Abstract: As far as the safety of a driver is concerned, more focus should be put on correct interpretation and information which is conveyed by a traffic sign, while driving a vehicle along the road. A sign board can be thought of as an emblem which disseminates important and meaningful information regarding the potential hazards prevailing among road users comprising roadways cladded with snowfall, construction worksites or repairing of roads taking place and telling the people to follow an alternative route. It alerts the person who is passing through the road about the maximum possible extremity that his vehicle is trying to achieve indicating slowing down the speed of vehicle since chances of having collision cannot be ruled out. With constant increasing of the training database size, not only the recognition accuracy, but also the computation complexity should be considered in designing a feasible recognition approach. The traffic sign images were acquired from the image database and were subjected to some pre-processing techniques such as conversion of original into gray scale images, filtering the images with the help of Averaging Filter, Wiener Filter, carrying out the operation of Unsharp Mask Filtering which consists of performing the conventional method of Unsharp Mask Filtering as well as controlling the amount of sharpness with the help of certain parameters. In the future, we will concentrate on detecting, recognizing as well as classifying a particular sign board.
3 citations
"A novel method for the extraction o..." refers background in this paper
...191 traffic signs dating from the last century, and the proof of this work is found in an ancient survey which was lastly updated in May 1999, given in [12][15][18][23][24]....
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