Improved Contour Detection by Non-classical Receptive Field Inhibition
BMCV '02 Proceedings of the Second International Workshop on Biologically Motivated Computer Vision
Groves decipherment from space photos using prototype matching
Pattern Recognition Letters - Special issue: Pattern recognition for remote sensing (PRRS 2002)
Extending anisotropic operators to recover smooth shapes
Computer Vision and Image Understanding
Robustness of Shape Descriptors to Incomplete Contour Representations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern Recognition Letters
Pattern Recognition
Attribute-space connectivity and connected filters
Image and Vision Computing
A cognitive evaluation procedure for contour based shape descriptors
International Journal of Hybrid Intelligent Systems - Recent developments in Hybrid Intelligent Systems
Improved grating and bar cell models in cortical area V1 and texture coding
Image and Vision Computing
Contour detection based on contextual influences
Image and Vision Computing
Extraction of salient contours from cluttered scenes
Pattern Recognition
Self-Invertible 2D Log-Gabor Wavelets
International Journal of Computer Vision
Texture-gradient-based contour detection
EURASIP Journal on Applied Signal Processing
A biologically motivated multiresolution approach to contour detection
EURASIP Journal on Applied Signal Processing
Automatic generation of consensus ground truth for the comparison of edge detection techniques
Image and Vision Computing
A neural contextual model for detecting perceptually salient contours
Pattern Recognition Letters
Image Segmentation based on Inter-feature Distance Maps
Proceedings of the 2005 conference on Artificial Intelligence Research and Development
An improved Hough transform voting scheme utilizing surround suppression
Pattern Recognition Letters
Extending anisotropic operators to recover smooth shapes
Computer Vision and Image Understanding
A receptive field based approach for face detection
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
A multi-scale visual salient feature points extraction method based on Gabor wavelets
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
A full-reference quality metric for geometrically distorted images
IEEE Transactions on Image Processing
Review article: Edge and line oriented contour detection: State of the art
Image and Vision Computing
A hybrid computational model for an automated image descriptor for visually impaired users
Computers in Human Behavior
A neural network model for extraction of salient contours
ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
Computational-geometry approach to digital image contour extraction
Transactions on computational science XIII
Continuous emotion recognition using gabor energy filters
ACII'11 Proceedings of the 4th international conference on Affective computing and intelligent interaction - Volume Part II
Face recognition by cortical multi-scale line and edge representations
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part II
Extraction of salient contours via excitatory-inhibitory interactions in the visual cortex
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
Integration of multiple methods for class and specific object recognition
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
Multi-scale cortical keypoint representation for attention and object detection
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part II
Multi-scale keypoints in v1 and face detection
BVAI'05 Proceedings of the First international conference on Brain, Vision, and Artificial Intelligence
Incomplete contour representations and shape descriptors: ICR test studies
BVAI'05 Proceedings of the First international conference on Brain, Vision, and Artificial Intelligence
A computational model for boundary detection
ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing
Recognition of facial expressions by cortical multi-scale line and edge coding
ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part I
Objective comparison of contour detection in noisy images
CIARP'11 Proceedings of the 16th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
A non-Newtonian gradient for contour detection in images with multiplicative noise
Pattern Recognition Letters
Contextual modulation via low-level vision processing
Image and Vision Computing
Content-based image retrieval using color difference histogram
Pattern Recognition
Contour detection by CORF operator
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part I
Automatic construction of gaussian-based edge detectors using genetic programming
EvoApplications'13 Proceedings of the 16th European conference on Applications of Evolutionary Computation
Pattern Recognition Letters
A method to estimate Grape Phenolic Maturity based on seed images
Computers and Electronics in Agriculture
A single functional model of drivers and modulators in cortex
Journal of Computational Neuroscience
Towards finger-vein image restoration and enhancement for finger-vein recognition
Information Sciences: an International Journal
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We propose a biologically motivated method, called nonclassical receptive field (non-CRF) inhibition (more generally, surround inhibition or suppression), to improve contour detection in machine vision. Non-CRF inhibition is exhibited by 80% of the orientation-selective neurons in the primary visual cortex of monkeys and has been shown to influence human visual perception as well. Essentially, the response of an edge detector at a certain point is suppressed by the responses of the operator in the region outside the supported area. We combine classical edge detection with isotropic and anisotropic inhibition, both of which have counterparts in biology. We also use a biologically motivated method (the Gabor energy operator) for edge detection. The resulting operator responds strongly to isolated lines, edges, and contours, but exhibits weak or no response to edges that are part of texture. We use natural images with associated ground truth contour maps to assess the performance of the proposed operator for detecting contours while suppressing texture edges. Our method enhances contour detection in cluttered visual scenes more effectively than classical edge detectors used in machine vision (Canny edge detector). Therefore, the proposed operator is more useful for contour-based object recognition tasks, such as shape comparison, than traditional edge detectors, which do not distinguish between contour and texture edges. Traditional edge detection algorithms can, however, also be extended with surround suppression. This study contributes also to the understanding of inhibitory mechanisms in biology.