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This paper describes a thresholding method based on a Multi-Layer Perceptron approach for documents with complex backgrounds. The study case is focused on two regions of Brazilian bank checks: the courtesy amount and the character magnetic code. Those images have complex backgrounds with different patterns, which is a problem for an automatic recognition system. The new approach is based on a connectionistic...
Crack detection is crucial for safety and cost-effective maintenance of concrete structures. Researchers have proposed several methods based on machine vision techniques to inspect the cracks on the bottom surface of concrete bridges, such as Fujita's method. However, it is difficult to obtain high-quality images and image processing results because of complex environmental and light conditions under...
This paper is concerned with “structural” change detection in pair of images. This is a challenging and open problem since the difficulties stemming from the confusion between real changes (depending on the objects/structures inside the images) and visual changes (observed through the difference in terms of image luminance) are numerous. We propose to solve this labeling problem as the minimization...
Although “Bag-of-Features” image models have shown very good potential for object matching and image retrieval, such a complex data representation requires computationally expensive similarity measure evaluation. In this paper, we propose a framework unifying dictionary-based and kernel-based similarity functions that highlights the tradeoff between powerful data representation and eff cient similarity...
Edge detection techniques in image processing and computer vision occupies a special position. How to quickly and accurately extract the image edge information of objects has been a hot research at home and abroad. This article describes several classical edge detection operator and the recent emergence of a new edge detection method, and its matlab simulation studies and a comparative analysis.
With the increasing computational power of mobile devices and the increase in the usage of ordinary location-based services, the area of indoor location-based services is of growing interest. Nowadays indoor location-based services are used mainly for personalized information retrieval of maps and points of interest. Advanced location-based functionality often suffers from imprecise positioning methods...
Recently it has been shown that the performance of image set matching methods can be improved by clustering set samples into smaller and more coherent groups. Typically, set samples are treated independently during clustering, ie., clustering criteria have not been defined to exploit set characteristics. In this paper we introduce a novel approach to image set clustering by considering the similarities...
Affine moment invariants are important shape descriptors in pattern recognition and computer vision. Existing affine invariants methods are based on geometric and complex moments. In this paper, we propose a set of affine invariants extracted from Legendre moments. These invariants are derived by the relationship between the Legendre moment of the affine transformed image and that of the original...
In this paper we propose a new method for appearance-based pose estimation, called Local Procrustes Regression (LPR). In LPR, rather than learning a map between all available training samples and pose space, as is common for appearance-based pose estimation algorithms, the pose of an unknown sample is recovered locally from a small subset of the training samples, by utilizing their inter-point distances...
Image inpainting is a technique for estimating missing pixel values in an image by using the pixel value information obtained from neighbor pixels of a missing pixel or the prior knowledge derived from learning the object class. In this paper, we propose a fast and accurate image inpainting method using similarity of the subspace. The proposed method generates the subspace from many images related...
Non-negative Matrix Factorization (NMF) is among the most popular subspace methods widely used in a variety of image processing problems. Recently, a discriminant NMF method that incorporates Linear Discriminant Analysis criteria and achieves an efficient decomposition of the provided data to its discriminant parts has been proposed. However, this approach poses several limitations since it assumes...
In this work we report on the transfer of image parameters that produce good results for medical images to the domain of solar image analysis. Using the first solar domain-specific benchmark dataset that contains multiple types of solar phenomena we discovered during our work for constructing a content-based image retrieval (CBIR) system for NASA's Solar Dynamics Observatory (SDO) mission that we...
Subpixel is a key technology of image processing technology. It can achieve positioning better than entire pixel precision to the target. Against the shortcoming of slow speed of general Zernike moment subpixel location method, proposed an improved Sobel-Zernike moment positioning method in the software algorithms of sheath and insulation materials thickness image measurement system, improved the...
This paper presents a novel hybrid method for tea color separation using image processing and artificial intelligence techniques. The objective of this research is to identify the stalk particles which reduce the quality of tea, without removing good particles with the intention of increasing the income of the tea manufacturing process. In order to achieve this goal it is important to identify the...
The discerning person usually can not read Braille information without training, then many parents have difficulty educating their blind or visually impaired children. Teachers engaged in special education have to depend on Braille translator when marking Braille papers or assignments, so subjective factors are brought into the evaluation process. This paper describes a new system that recognizes...
This paper deals with localization of Temporomandibular Joint Disc (TJD) in Magnetic Resonance Images (MRI). Since the contrast of the TJD is quite low when compared to noise ratio when displayed using MRI, its detection is quite complicated. Therefore the method described in this paper are not not focused the disk itself but detect the most significant objects around TJD, which has usually much higher...
The Human Visual System (HVS) has been observed to process visual information on a multi-channel filtering basis in the early stages of analysis. This has given rise to a number of texture segmentation techniques that seek to mimic the HVS multi-channel filtering theory.
This paper presents a enhanced feature extraction method which is a combination and selected of two feature extraction techniques of Gray Level Co occurrence Matrix (GLCM) and Edge Direction Matrixes (EDMS) for character recognition purpose. It is apparent that one of the most important steps in a character recognition system is selecting a better feature extraction technique, while the variety of...
This thesis propose an algorithm which is based on the unmanned aerial vehicle (UAV) remote sensing images geometrical rectification model with the flight attitude parameters. The algorithm can make the flight attitude information of the UAV remote sensing images for the fast geometrical distortion rectification in the course of lacking the ground control points to carry on. The quality assessment...
Combining spectral and spatial information can improve land use classification of high-resolution data. However, the use of spatial information always focus on objects' spatial pattern, whereas not pay enough attention to spatial relationship, which is more convenient and effective in remote sensing classification. This letter proposes a spectral-spatial information method, which aims to exploit objects'...
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