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Computer Vision and Image Processing
Linda G. Shapiro,Azriel Rosenfeld +1 more
- 01 Feb 1992
374
TL;DR: On the use of morphological operators in a class of edge detectors, L. Hertz and R. Schafer a valley-seeking threshold selection technique, and a pattern recognition of binary image objects using morphological shape decomposition.
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Abstract: On the use of morphological operators in a class of edge detectors, L. Hertz and R.W. Schafer a valley-seeking threshold selection technique, S.C. Sahasrabudhe and K.S. Das Gupta local characteristics of binary images and their application to the automatic control of low-level robot vision, P.W. Pachowicz corner detection and localization in a pyramid, S. Baugher and A. Rosenfeld parallel-hierarchical image partitioning and region extraction, G.N. Khan and D.F. Gillies invariant architectures for low-level vision, L. Jacobson and H. Wechsler representation - primitives chain code, L. O'Gorman generalized cones - useful geometric properties, K. Rao and G. Medioni vision-based rendering - image synthesis for vision feature algorithms, J.D. Yates, et al recognition - investigation of a number of character recognition algorithms, A.A. Verikas, et al log-polar mapping applied to pattern representation and recognition, J.C. Wilson and R.M. Hodgson pattern recognition of binary image objects using morphological shape decomposition, I. Pitas and N.D. Sidiropoulos a pattern classification approach to multi-level thresholding for image segmentation, J.G. Postaire and M. Ameziane KOR - a knowledge-based object recognition system, C.M. Lee, et al shape decomposition based on perceptual structure, H.S. Kim and K.H. Park three dimensional - the Frobenius metric in image registration, K. Zikan and T.M. Silberberg binocular fusion revisited utilizing a log-polar tessellation, N.C. Griswold, et al an expert system for recovering 3D shape and orientation from a single view, W.J. Shomar, et al integrating intensity and range sensing to construct 3D polyhedra representation, W.N. Lie, et al notes - texture segmentation using topographic labels, T.C. Pong, et al an improved algorithm for labelling connected components in a binary image, X.D. Yang a note on the paper "The Visual Potential - One Convex Polygon", A. Laurentini a string descriptor for matching partial shapes, H.C. Liu and M.D. Srinath formulation and error analysis for a generalized image point correspondence algorithm, S. Fotedar, et al a new surface tracking system in 3D binary images, L.W. Chang and M.J. Tsai.
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Citations
A study of automated color, shape and texture analysis of Tatami embroidery fabrics
TL;DR: An automated analysis system for Tatami embroidery fabric images that automates color analysis, pattern shape analysis and texture analysis is proposed and the experimental results show that this method can implement Tatami stitching fabric color, shape and texture analyses automatically.
19
Medical image denoising using optimal thresholding of wavelet coefficients with selection of the best decomposition level and mother wavelet
TL;DR: A novel approach for image denoising based on discrete wavelet transform (DWT) with the selection of the best decomposition level and mother wavelet and the inverse of DWT is applied to reconstruct the denoised image.
19
Acceleration of filtering and enhancement operations through geometric processing of gray-level images
Miguel Angel Garcia,Boris X. Vintimilla +1 more
- 10 Sep 2000
TL;DR: Experimental results show that image filtering and enhancement operations are significantly more efficient when they are performed upon triangular meshes than by sequentially processing all the pixels contained in the given images.
19
Using sliding concentric windows for license plate segmentation and processing
Christos-Nikolaos Anagnostopoulos,Ioannis Anagnostopoulos,George E. Tsekouras,Georgios Kouzas,Vassili Loumos,Eleftherios Kayafas +5 more
- 01 Jan 2005
TL;DR: A novel adaptive image segmentation technique (sliding windows) in conjunction with a character recognition neural network (PNN) to identify multi-font alphanumeric characters from car license plates based on data obtained from algorithmic image processing.
18
Detection of Multiple Innervation Zones from Multi-Channel Surface EMG Recordings with Low Signal-to-Noise Ratio Using Graph-Cut Segmentation
TL;DR: The proposed algorithm correctly and precisely identified multiple IZs in each signal epoch in a wide range of signal quality and is thus a promising new offline tool for electrophysiological studies.
References
Ayurvedic Medicinal Plants Identification: A Comparative Study on Feature Extraction Methods
R. Ahila Priyadharshini,S. Arivazhagan,M. Arun +2 more
- 04 Dec 2020
TL;DR: In this paper, a publicly available annotated database of Indian medicinal plant leaf images named as MepcoTropicLeaf was introduced and a six level convolutional neural network (CNN) was proposed to achieve an accuracy of 87.25% using machine learnt features.
17
Multi-lingual Indian Text Detector for Mobile Devices.
Veronica Naosekpam,Naukesh Kumar,Nilkanta Sahu +2 more
- 04 Dec 2020
TL;DR: In this paper, the aspect ratios of the anchor boxes are calculated using K-means clustering on the ground truth values, so that it can accurately detect words of varying lengths.
12
Domain Adaptation Based Technique for Image Emotion Recognition Using Image Captions.
Puneet Kumar,Balasubramanian Raman +1 more
- 04 Dec 2020
TL;DR: In this paper, a technique for recognizing the emotions in images containing facial, non-facial, and non-human components has been proposed The emotion-labeled images are mapped to their corresponding textual captions then the captions are used to re-train a text emotion recognition model as the domain-adaptation approach.
5
Enhancement of Region of Interest from a Single Backlit Image with Multiple Features
Gaurav Yadav,Dilip Kumar Yadav,P. V. S. S. R. Chandra Mouli +2 more
- 04 Dec 2020
TL;DR: In this article, a simple approach for the enhancement of ROI of backlit images is proposed, which considers several features including tone mappings, exposedness, gradient, median filtering and finally, the fusion of the results has been done.
3
Generative Adversarial Network for Heritage Image Super Resolution
Rajashree Nayak,Bunil Kumar Balabantaray +1 more
- 04 Dec 2020
TL;DR: The proposed SRR method via the GAN model (SRRGAN) is modeled as a min-max optimization process by integrating some new loss functions which will enable to maintain spatial and textural homogeneity in the estimated HR images.
3