A robust edge based corner detector

Nachar, Rabih Al; Inaty, Elie; Bonnin, Patrick; Alayli, Yasser

doi:10.1109/melcon.2014.6820539

Cited by 5 publications

(10 citation statements)

References 17 publications

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“…The target from extracting those straight edges is their role in identifying corners that are used as interest points. A corner [31] can be defined as intersection of two non collinear straight edges with appropriate length. Therefore, efficient detection of straight edges will lead to efficient corners detection.…”

Section: Methods Outlinesmentioning

confidence: 99%

“…Straight lines are very important image features used in remote sensing applications to register city or roads networks images. The point features are image corners [31], line intersections, centroids of regions, curvature extremes, and others. These corners form the CPs in the source and sensed images.…”

Section: Image Registrationmentioning

confidence: 99%

“…On the other hand, when the time interval between successively acquired images is large, the projective transformation describes better the deformation occurring in the image than the affinity. However, if the time interval is relatively small, affine model is a very good approximation of the real deformation [31]. Therefore, a suggested application is a motion analysis of a video sequence where this limitation exists.…”

Section: Introductionmentioning

confidence: 99%

“…The second one is to propose a new matching scheme for proper transformation estimation. The method is initiated by detecting edge corners [31] that are edge points corresponding to an edge deviation. Edge corners differ from interest points that are extracted by detectors applied directly to image intensities.…”

Section: Introductionmentioning

confidence: 99%

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Towards an automatic image co-registration technique using edge dominant corners primitives

Nachar

Inaty

Bonnin³

et al. 2015

ICA

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This paper presents a new algorithm for image co-registration using dominant corners located on the image's edges under the assumption that the deformation between the successive images is modeled by an affine transformation. This assumption is guaranteed when the time interval between acquired images is small like in a video sequence. Therefore, it is mainly dedicated for motion analysis. The method detects first straight edges of an object contour then classifies their intersection points as contour's corners characterized by their angles and adjacent segments lengths. The suppressor starts then to eliminate iteratively the weak corners until reaching a set of dominant ones called "Dominant Corners". These dominant corners are shown to be very repeatable under affinity transformation. A Primitive is constructed by four consecutive dominant corners located on the same contour. The invariant measure that characterizes each primitive is the ratio of areas of two triangles constructed by two triplets selected from these four corners and the corners directions difference. The primitives are formed in the two studied images from an image sequence. All primitives are used to vote for the best affine model that relates the two images. The method used in primitive construction will lead to an important enhancement over existing methods in the voting process in time and accuracy. This method is tested on real images and good results are reported.

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Section: Methods Outlinesmentioning

confidence: 99%

Section: Image Registrationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Towards an automatic image co-registration technique using edge dominant corners primitives

Nachar

Inaty

Bonnin³

et al. 2015

ICA

Self Cite

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show abstract

“…Both the segmentation and recognition are based on edge corners (ECs). These ECs are edge points corresponding to edge deviations that are repeatable over affine transformation . In addition, a given contour can be approximated using a polygon whose vertices are dominant ECs .…”

Section: Introductionmentioning

confidence: 99%

Breaking down Captcha using edge corners and fuzzy logic segmentation/recognition technique

Nachar

Inaty

Bonnin³

et al. 2015

Security Comm Networks

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CAPTCHA is a security technique to allow a computer application to distinguish between computer and human access. Most of now a day CAPTCHA words have their characters connected together which makes them very difficult to be segmented and recognized. In this paper we present an efficient technique that first benefits from the intersections between characters in a word and then segment it based on the recognition of each segmented character. Edge corners (ECs) are used in both segmentation and recognition phases. A novel fuzzy logic‐based scheme is proposed to match characters using their ECs. Experimental results show the efficiency of the proposed scheme in terms of success rate using a large set of CAPTCHA's words. Copyright © 2015 John Wiley & Sons, Ltd.

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Aptive Image Segmentation based on Saliency Detection

Shui

2015

International Journal on Smart Sensing and Intelligent Systems

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Abstract-in this article, we propose an adaptive image segmentation method based on saliency. First of all, we obtain the saliency map of an image via four bottom-layer feature tunnels, i.e. color, intensity, direction and energy. The energy tunnel helps to describe the outline of objects better in the saliency map. Then, we construct the target detection masks according to the greyness of pixels in the saliency map. Each mask is applied to the original image as the result of pre-segmentation, then corresponding image entropy is calculated. Predict the expected entropy according to maximum entropy criteria and select the optimal segmentation according to the entropies of pre-segmented images and the expected entropy. A large number of experiments have proved the effectiveness and advantages of this algorithm..

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A robust edge based corner detector

Cited by 5 publications

References 17 publications

Towards an automatic image co-registration technique using edge dominant corners primitives

Towards an automatic image co-registration technique using edge dominant corners primitives

Breaking down Captcha using edge corners and fuzzy logic segmentation/recognition technique

Aptive Image Segmentation based on Saliency Detection

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