Category Archive: 'matlab mtech project'

A Hypergraph-Based Reduction for Higher-Order Binary Markov Random Fields

Higher-order Markov Random Fields, which can capture important properties of natural images, have become increasingly important in computer vision. While graph cuts work well for first-order MRF’s, until recently they have rarely been effective for higher-order MRF’s. Ishikawa’s graph cut technique [1], [2] shows great promise for many higher-order MRF’s. His method transforms an arbitrary higher-order MRF […]

Investigation of the production properties of fancy yarns using image processing method

Nowadays, rapid development in the technology of optical and optoelectronic detectors leads the usage of the computer vision based feature extraction techniques which are examined in a wide range from forensic investigations to automatic quality control of industrial products. Automatic identification of the production fault and production parameters of textile materials is one of the investigation fields, in […]

A Very Fast Algorithm for Simultaneously Performing Connected-Component Labeling and Euler Number Computing

Labeling connected components and calculating the Euler number in a binary image are two fundamental processes for computer vision and pattern recognition. This paper presents an ingenious method for identifying a hole in a binary image in the first scan of connected-component labeling. Our algorithm can perform connected component labeling and Euler number computing simultaneously, and it can […]

Shape, Illumination, and Reflectance from Shading

A fundamental problem in computer vision is that of inferring the intrinsic, 3D structure of the world from flat, 2D images of that world. Traditional methods for recovering scene properties such as shape, reflectance, or illumination rely on multiple observations of the same scene to overconstrain the problem. Recovering these same properties from a single image seems almost […]

Human vs. computer slot car racing using an event and frame-based DAVIS vision sensor

This paper describes an open-source implementation of an event-based dynamic and active pixelvision sensor (DAVIS) for racing human vs. computer on a slot car track. The DAVIS is mounted in “eye-of-god” view. The DAVIS image frames are only used for setup and are subsequently turned off because they are not needed. The dynamic vision sensor (DVS) events are then used […]

Wireless Applications of Mobile Egomotion Estimation with Computer Vision

In this paper a summary of our orientation estimation algorithm is introduced with a focus on application areas on mobiles and in wireless environments. The standard problem of using gyroscopes for orientation estimation is that integration of raw angular rates with non-zero bias will lead to continuous drift of the result angle. To examine the […]

Gift: A geospatial image and video filtering tool for computer vision applications with geo-tagged mobile videos

In this paper, we propose a novel geospatial image and video filtering tool (GIFT) to select the most relevant input images and videos for computer vision applications with geotagged mobile videos. GIFT tightly couples mobile media content and their geospatial metadata for fine granularity video manipulation and intelligently indexes FOVs (Field of View) to deal with large volumes […]

Tangent Bundle Elastica and Computer Vision

Visual curve completion, an early visual process that completes the occluded parts between observed boundary fragments (a.k.a. inducers), is a major problem in perceptual organization and a critical step toward higher level visual tasks in both biological and machine vision. Most computational contributions to solving this problem suggest desired perceptual properties that the completed contour should […]

A new method of fuzzy logic-based steganography for the security of medical images

Dicom (Digital Imaging and Communications in Medicine) files stores the personal data of patients in file headers. The personal data of patients can be obtained illegally while archiving and transmitting Dicom files. Therefore, the personal rights of patients can also be invaded. It can be also changed the treatment of disease.This study proposes a new fuzzy logic-based […]

A generalized framework for medical image classification and recognition

In this work, we study the performance of a two-stage ensemble visual machine learning framework for classification of medical images. In the first stage, models are built for subsets of features and data, and in the second stage, models are combined. We demonstrate the performance of this framework in four contexts: 1) The public ImageCLEF (Cross Language […]