Blandón Luengas, Juan Sebastián · Repository Technological University of Pereira (Technological University of Pereira) · 2020
Image Processing Systems (IPS) try to solve tasks like image classification or segmentation based on its content. Many authors proposed a variety of techniques to tackle the image classification task. Plenty of methods address the performance of the IPS [1], as long as the influence of many external circumstances, such as illumination, rotation, and noise [2]. However, there is an increasing interest in classifying shapes from binary images (BI). Shape Classification (SC) from BI considers a segmented image as a sample (backgroundsegmentation [3]) and aims to identify objects based in its shape...
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G.P.M. Prause, Dietrich G. W. Onnasch · 2003
The binary reconstruction of the ventricles from clinically acquired biplane angiocardiograms requires the preprocessing of the raw image data. The necessary steps of densitometric and geometric image correction and processing are presented and discussed. By means of an end-diastolic laevocardiogram their effects are demonstrated by comparing the biplane row sum vectors. The corrected projection data are used for the binary reconstruction of the ventricle.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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Ronald Spencer And · 2007
This paper presents a monolithic mixed-mode implementation of sum-of-product arrays that are capable of performing morphological image processing in silicon. The digital equations of the two basic morphological operations, erosion and dilation, are rewritten in a local, mixed-mode form to facilitate hardware implementation and results are shown for a 3x3 selective element array fabricated in silicon. I. INTRODUCTION Morphology is the study of structure in images [1] and [2]. It is based on the concept of transforming images by probing them with smaller images known as selective elements to determine intersections and unions. Two very significant advantages of morphological processing are the ability to discover fundamental structures in images and the localized simplicity of the operations. As a result, morphological processing can be easily implemented in hardware to assist with such tasks as image analysis and video coding [3]. Although morphological operations can be implemented in...
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Pablo, Vasquez O., Arana, Nestor, Izaguirre, Alberto et al. · VBN Forskningsportal (Aalborg Universitet) · 2016
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Kenji SUGIMORI, Taketoshi Iyota, Yongwoon Choi et al. · Transactions of the Society of Instrument and Control Engineers · 2006
General-purpose imagers have been developed into high resolution and high frame rate, and simultaneously attempted to apply to the measurement and the recognition of objects in various scenes, recently. However, with the rise of image data volume, the transfer-time of the data and the loads for image processing are also increased. In the cases of binary image processing frequently used as pre-processing for the applications of general-purpose imagers, efficient extracting only the information of interest makes the effectiveness higher in the whole image processing. From this point of view, we propose a Pixel Position Extraction (PPE) Method for efficient processing of binary image data using a general-purpose imager. By the proposed method, as the image data captured by imager is binarized, only the x and y coordinates in object domain of the binary image are extracted in real-time on hardware. Thereby, processing volume becomes proportional to the net pixel numbers in object domain regardless of the position of objects in the captured image and the resolution of an imager. By processing only the coordinate data of the pixels of interest in a binary image, the method completely eliminates the redundant processing which is caused by sequential scanning the pixels of background domain in a binary image on software. This paper describes the principle of the proposed method, its algorithm, the validation of data volume change by this method, and the overview of experimental prototype system. Finally, verification experiment by the comparison with the conventional disposal, and its results are discussed.
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John M. Rensberger (716160), Ricardo N. Martínez (5662882) · Figshare · 2015
<p>(A) 400x microphotograph. (B) Binary image derived from (A) after the filtering sequence described in Methods. (C) Osteocyte lacunae extracted from (B). (D) Canaliculi remaining after extraction of lacunae and conversion to 1 pixel wide skeletons. The filtering procedure was applied identically across all samples.</p>
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Maciej Macieszczak, M. Omair Ahmad · 2002
One of the most essential tasks in the image understanding systems is shape analysis of the binary images. The effectiveness of the shape analysis process requires an accurate description of the shape of the object and an appropriate structure of the input data. In this paper, a new method of the shape equalization is presented. The proposed approach increases the accuracy of the shape description without increasing the complexity of the input information. The method is based on the data interpolation using Fourier descriptors and takes advantage of the statistical properties of the objects found in image scenes. A 1-D filter is used for spatial filtering of the contours.
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Ebtisam Alabdulqader, Muhammad Umer, Khaled Alnowaiser et al. · Mobile Networks and Applications · 2024
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Emmanuel Christophe, Pierre Duhamel, Corinne Mailhes · 2008
Abstract — Zerotrees of wavelet coefficients have shown a good adaptability for the compression of three dimensional images. EZW, the original algorithm using zerotree, shows good performance and was successfully adapted to 3D image compression. This paper focuses on the adaptation of EZW for the compression of hyperspectral images. The subordinate pass is suppressed to remove the necessity to keep the significant pixels in memory. To compensate the loss due to this removal, signed binary digit representations are used to increase the efficiency of zerotrees. Contextual arithmetic coding with very limited contexts is also used. Finally, we show that this simplified version of 3D-EZW performs almost as well as the original one. Index Terms — Compression, EZW, hyperspectral, signed binary digit representation.
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Sophia Weber, Barbara Kaup, Francesca Capuano et al. · Open Science Framework · 2026
This study investigates the negation effect in multimodal models. It focuses on how accurately Stable Diffusion XL processes affirmative and negative statements describing states that differ in prominence of alternatives. We define prominence as whether a noun–predicate combination evokes a particularly salient or conventional alternative when negated. Prominent alternatives are cases where negation strongly suggests a specific, highly salient alternative (e.g., “The traffic light is not red” → green). Non-prominent alternatives are cases where negation does not evoke a single dominant alternative, but rather a set of less salient possibilities (e.g., “The box is not wooden” → metal, plastic, cardboard, etc.). To select the items used in the experiment, we draw on the 18 items from Capuano et al. (2023) with the highest cloze probability as prominent items, and the 18 items with the lowest cloze probability as non-prominent items.
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Igor Aizenberg · Lecture notes in computer science · 1999
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Naum N. Aizenberg, Igor Aizenberg, Georgy A. Krivosheev · 1996
Conception of universal binary neurons and multivalued neurons with complex-valued weights and their applications to image processing and pattern recognition are considered in this paper. First, efficiency of the "passage" to the complex domain for increasing of the neuron's functionality is considered. A solution of the XOR problem on the single universal binary neuron is considered. The high speed learning algorithm for the both neurons is developed. Next, neural networks with cellular and random connections based on the considered neurons are proposed. Applications of such networks to image processing (cellular) and image recognition (random) are proposed. The use of multi-valued neurons for time-series extrapolation is also considered.
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Penghao Chen, Haoran Sun, Ziyu Ming et al. · ACS Nano · 2025
Recent advancements in in-sensor computing technology have demonstrated significant advantages in time latency and energy efficiency in visual information processing through device-level integration of photosensing and neuromorphic computing. However, current implementations face challenges due to their single-layer architecture, creating an urgent demand for the development of devices that integrate front-end in-sensor processing with back-end computing layers. Here, we report a programmable graphene/Si Schottky diode (PGSSD) featuring gate-voltage-programmed photoresponsivity and rectification direction. The programmability of the photoresponsivity enables the application of reconfigurable convolution kernels to implement in-sensor convolution of optical images. Simultaneously, the programmable rectification direction permits analog-domain execution of quasi-binary multiply-accumulate (MAC) operations. Based on these capabilities, we constructed a complete binary neural network (BNN) using the PGSSDs and demonstrated its application for image recognition. The BNN combines front-end convolution processing and back-end computing layers, achieving an inference accuracy of 98.35% on the MNIST database.
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Gastaud, Rene · OpenGrey (Institut de l'Information Scientifique et Technique) · 1986
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Inoue, Katsunori · OUKA (Osaka University Knowledge Archive) (Osaka University)
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B.E. Zaberzhinskiy, А.Г. Золин · Современные наукоемкие технологии (Modern High Technologies) · 2023
Распознавание лиц является компьютерным приложением, способным обнаруживать, отслеживать, идентифицировать или верифицировать человеческие лица на изображении или видео.Несмотря на то, что в последнее время достигнут значительный прогресс в области распознавания и обнаружения лиц для целей безопасности, идентификации и учета, все еще есть проблемы, препятствующие достижению или повышению точности распознавания на уровне человека.Эти проблемы включают вариации в формировании изображения человеческого лица, такие как изменение условий освещения, шума на изображениях, масштаба и положения.Представленная статья предлагает новый метод, использующий алгоритм Local Binary Pattern (Локальные бинарные шаблоны) (LBP) в сочетании с современными методами обработки изображений, такими как коррекция контраста, двойной фильтр
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Gilbert George, Anusuya, A. Kanakala et al. · AIP conference proceedings · 2024
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Jeffrey W. Yu, Tien Hsin Chao, Li Cheng et al. · 1992
Some advantages of optical and electronic processing combined. Proposed optical-input/optical-output morphological processor is optoelectronic assembly performing some binary operations on picture elements of binary input image, yielding processed binary output image. Number of such processors cascaded to form more complicated image-processing system. Use of optics as connection medium makes rate of processing faster than in all-electronic system designed to perform same overall processing functions. At the same time, use of electronics as processing medium provides flexibility of reconfiguration not available in all-optical system.
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Bombardier, Vincent · OpenGrey (Institut de l'Information Scientifique et Technique) · 1991
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Adriana Stratulat-Diaconu, Adriana Stratulat-Diaconu, Dunarea de Jos" · The Annals of “Dunarea de Jos” University of Galati Fascicle III Electrotechnics Electronics Automatic Control and Informatics · 2019
Image processing is an essential field applied in a lot of applications, as medical imaging, astronomy, video, image compression and transmission, and so on. In this paper was proceeded grayscale image converted from RGB (red, green, blue) system. Mathematical morphology in image processing is applied on binary images so that is very important to chosen the adequate binary threshold. Both, mean and standard deviation can determine the optimum binary threshold. The mathematical morphology and optimum binary threshold can be used with success in order to study skin lesion.
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