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This paper describes a realization of Hough method of image processing over embedded DSP microprocessor module. The method consists of coordinates conversion of some points from particular raster coded image to the 2D parameters space using line or circle parameters in parametric equations. In the conversion result in 2D space the parameters of the lines or circles can be found.
In this paper, we propose a new writing type and script text classification technique to recognize the identity of texts extracted from heterogeneous document images. English, French and Arabic languages are used in these documents with mixed handwritten and machine-printed types. In order to identify each text-line/word image, we propose to use 23 features computed on a fixed-length sliding window...
Depth estimation of the surrounding environment using a stereoscopic camera setup is an important and fundamental research topic in computer vision. Due to its running time and quality performance in real situations the semi global matching algorithm is often used. The biggest disadvantage of the semi global approach is its large memory footprint. On the other hand, block matching stereo is leaner...
In this paper we introduce a shape descriptor known as Self Similar Affine Invariant (SSAI) descriptor for shape retrieval. The SSAI descriptor is based on the property that two sets of points are transformed by an affine transform, then subsets of each set of points are also related by the same affine transformation. Also, the SSAI descriptor is insensitive to local shape distortions. We use multiple...
A new algorithm, named Connected Oriented Image Foresting Transform (COIFT), is proposed, which provides global optimum solutions according to a graph-cut measure, subject to high-level boundary constraints. COIFT incorporates the connectivity constraint in the Oriented Image Foresting Transform (OIFT), ensuring the generation of connected objects, and can also handle simultaneously the boundary polarity...
Line graphs are abundant in scholarly papers. They are usually generated from a data table and that data can not be accessed. One important step in an automated data extraction pipeline is the curve separation problem: segmenting the pixels into separate curves. Previous work in this domain has focused on raster graphics extracted from scholarly PDFs, whereas most scholarly plots are embedded as vector...
We implement a free-space unitary transform inside a wavelength selective switch to produce rectangular shaped beams on the LCoS steering element. Compared to standard Gaussian illumination, the WSS can support 2× as many ports per pixel.
Fractal dimension is an extremely important tool in shape analysis and characterization, including tasks from signal processing to image processing. One of the reasons for such great interest is the power of the fractal dimension to properly express the intricacy and self-similarity of signals. One of the best methods to obtain the fractal dimension is the Minkowski-Bouligand. However, this method...
This paper presents a new method of template based shell clustering that allows more flexible free deformation of the cluster prototypes with respect to the template-defined shapes. This is achieved via a soft division of the template into several template parts, each allowed to have its own set of transform parameters. A fuzzification factor, inspired by the one used in the standard fuzzy c-means...
Radon transform is robust to noise, and its performance is independent on the calculation of pattern centroid. Based on these facts, Radon transform is employed to extract invariant features in this paper. Radon functional integral transform is proposed, and Radon functional integral descriptors are constructed. It is proved that these descriptors are invariants to translation, scaling and rotation...
Shape-specific points are special data points invariant to translation, scaling, and rotation. The radius weighted mean (RWM) and the system center are two examples of shape-specific points. These points feature in contour registration, color quantization, and the detection of rotationally symmetric shape orientations. This study uses shape-specific points to cluster nonlinearly separable data into...
It is an important task to count the number of the objects in the image automatically. Because the objects in the image are sometimes overlapped with each other and even covered with different shaped objects, it is very difficult to detach these objects before counting them. Circular Hough transform has been used extensively to detect and count overlapped objects with circular shapes. However it can...
In this paper we consider the problem of automatic tracking for targets in complex natural backgrounds. The background elements can mask the target for a while. Target has a low contrast relatively to the background, moreover, some background elements and target can have the same brightness. Target detection in each frame of the video sequence is proposed by using its shape. The target shape is formed...
In order to fully test detector frameworks, it is important to have representative simulated clutter data readily available. While measured clutter data has often been fit to the Weibull distribution, generation of simulated complex multivariate Weibull data with prescribed covariance structure has been a challenging problem. As the multivariate Weibull distribution is admissible as a spherically...
The analysis of Magnetic Resonance Image has an important role in definite detection of Brain Tumor. The shape, location and size of tumor are examined by Radiology specialist to diagnose and plan treatment. In the intense work pace, it's not possible to get results quickly. At this scheme, unnoticed information can be recovered by an image processing algorithm. In this study, at database images which...
The Hough Transform is a popular tool for feature detection in digital image processing due to its robustness to noise and missing data. However, the computational cost associated to its voting scheme has prevented software implementation to achieve real time performance. This paper demonstrates the parallel computing power of Graphics Processing Unit (GPU) in area of image processing. In this paper,...
Retinal diseases are fatal and if not detected and treated during the early stages itself might result in the loss of eyesight. The true retinal artifacts can be distinguished using Scanning laser ophthalmoscopes (SLOs) is an important task for premature retinal detection. The importance of using SLO is which can image a wide part of the retina for better diagnosis of the retinal artifacts. The artifacts...
Hand gesture recognition is very important for HCI (human computer interaction). We introduce a simple method to recognize hand gestures. After the hand region is segmented from the background, the distance signature is constructed to describe the shapes of hand gestures. Then, the recognition of hand gestures is accomplished using the KNN classifier. The experimental results on one image collection...
Counting of Red Blood cell (RBC) is a significant measure that helps to diagnose specific diseases. Manual pathological RBCs counting process by experienced specialist is extremely tedious, time consuming, and imprecise which may be prone to high chance of error. Due to recent advancement, automated detection of red blood cell using image processing techniques is gaining popularity. In order to increase...
In this recent world, almost everything is getting digitized rapidly. A text based video retrieval system is degrading the performance with respect to user's perception these days. So it's time to move on to the content based retrieval approach to a video. The effective implementation of this system can be done by revision of the content based video retrieval style. Content Based Video Retrieval (CBVR)...
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