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Chapter and Conference Paper
Toward Real-Time Solar Content-Based Image Retrieval
We present a new approach for real-time retrieval and classification of solar images using a proposed sector-based image hashing technique. To this end, we generate intermediate hand-crafted features from auto...
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Chapter and Conference Paper
Edge Detection-Based Full-Disc Solar Image Hashing
We propose a content-based solar image descriptor for fast retrieving similar images. The method is divided into three main stages: active region detection by using edge detection, representation learning and ...
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Chapter and Conference Paper
Fast Visual Imperfection Detection when Real Negative Examples are Unavailable
We present a method of detecting defects and impurities in materials on an example of knitted fabrics. We describe problems related to the real-time imaging detection system. Furthermore, we propose a new fast...
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Chapter and Conference Paper
Sun Magnetograms Retrieval from Vast Collections Through Small Hash Codes
We propose a method for retrieving solar magnetograms based on their content. We leverage data collected by the SDO Helioseismic and Magnetic Imager using the SunPy and PyTorch libraries to create a vector-bas...
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Chapter and Conference Paper
Grid-Based Concise Hash for Solar Images
Continuous full-disk observations of the solar chromosphere and corona are provided nowadays by the Solar Dynamics Observatory. Such data are crucial for analysing the Sun-Earth system and life on our planet. ...
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Chapter and Conference Paper
Active Region-Based Full-Disc Solar Image Hashing
The main components of the Solar activity are solar flares, coronal mass ejections, high-speed solar wind, and solar energetic particles. Solar flares impact the Earth when they occur on the side facing our pl...
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Chapter and Conference Paper
Microscopic Sample Segmentation by Fully Convolutional Network for Parasite Detection
This paper describes a method of pixel-level segmentation applied to parasite detection. Parasite diseases in most cases are detected by microscopic samples examination or by ELISA blood tests. The microscopic...
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Chapter and Conference Paper
Architecture of Database Index for Content-Based Image Retrieval Systems
In this paper, we present a novel database index architecture for retrieving images. Effective storing, browsing and searching collections of images is one of the most important challenges of computer science....
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Chapter and Conference Paper
Local Keypoint-Based Image Detector with Object Detection
Accurate and efficient image content description is crucial for image retrieval systems. In the paper we propose a novel method to describe images by a combination of the SURF local keypoint detector and the C...
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Chapter and Conference Paper
Image Descriptor Based on Edge Detection and Crawler Algorithm
In this paper we present a novel approach to image description. Our method is based on the Canny edge detection. After the edge detection process we apply a self-designed crawler method. The presented algorith...
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Chapter and Conference Paper
Neural Video Compression Based on SURF Scene Change Detection Algorithm
In this paper we a new for video compression. Our approach is based on a well known neural network image compression algorithm: predictive vector quantization (PVQ). In this method of image compression two...
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Chapter and Conference Paper
Image Indexing and Retrieval Using GSOM Algorithm
Growing Self Organized Map (GSOM) algorithm is a well-known unsupervised clustering algorithm which a definite advantage is that both the map structure as well as the number of classes are automatically adjust...
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Chapter and Conference Paper
Video Key Frame Detection Based on SURF Algorithm
In this paper we present a new method for key frame detection. Our approach is based on a well known algorithm: Speeded-Up Robust Features (SURF), which is a crucial step of our method. The frames are compared...
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Chapter and Conference Paper
Multi-layer Architecture For Storing Visual Data Based on WCF and Microsoft SQL Server Database
In this paper we present a novel architecture for storing visual data. Effective storing, browsing and searching collections of images is one of the most important challenges of computer science. The design of...
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Chapter and Conference Paper
From Single Image to List of Objects Based on Edge and Blob Detection
In this paper we present a new method for obtaining a list of interest objects from a single image. Our object extraction method works on two well known algorithms: the Canny edge detection method and the quad...
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Chapter and Conference Paper
Improved Digital Image Segmentation Based on Stereo Vision and Mean Shift Algorithm
Segmentation of digital images is an important issue of object recognition. This method of image processing allows to determine single object areas in images. This paper presents an improved segmentation metho...
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Chapter and Conference Paper
Content-Based Image Indexing by Data Clustering and Inverse Document Frequency
In this paper we present an algorithm for creating and searching large image databases. Effective browsing and searching such collections of images based on their content is one of the most important challenge...
