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João Correia, Nereida Rodriguez-Fernandez, Leonardo Vieira, Juan Romero and Penousal Machado
Image Enhancement (IE) is an image processing procedure in which the image?s original information is improved, highlighting specific features to ease post-processing analyses by a human or machine. State-of-the-art image enhancement pipelines apply solut...
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Yunhong Li, Yuandong Bi, Weichuan Zhang, Jie Ren and Jinni Chen
An image edge detection algorithm using multi-directional and multi-scale Gabor filters is proposed in this paper. The main merit of this method is that high edge detection accuracy can be obtained while maintaining noise robustness. The approach propose...
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Krishnamurthy V. Vemuru
We report the design of a Spiking Neural Network (SNN) edge detector with biologically inspired neurons that has a conceptual similarity with both Hodgkin-Huxley (HH) model neurons and Leaky Integrate-and-Fire (LIF) neurons. The computation of the membra...
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Catalin Lupu
Pág. 156 - 167
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Timothy Ryan Taylor, Chun-Tang Chao and Juing-Shian Chiou
Standard spatial domain filters fail to adequately denoise and enhance the contrast of an image. These filters have drawbacks like oversmoothing, diminished texture, and lack of generative capabilities. This paper proposes a new method of image reconstru...
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Yanuar Wicaksono,Romi Satria Wahono,Vincent Suhartono
Pág. 15 - 21
Image segmentation to be basic for image analysis and recognition process. Segmentation divides the image into several regions based on the unique homogeneous image pixel. Image segmentation classify homogeneous pixels basedon several features such as co...
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Xiao Zhou, Chengyou Wang, Zhi Zhang and Qiming Fu
Based on a deep understanding of all-phase digital filter (APDF) design and all-phase biorthogonal transform (APBT), this paper will further study the windowed all-phase digital filter (WAPDF) and windowed all-phase biorthogonal transform (WAPBT), discus...
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Cesar G. Pachon, Diego Renza and Dora Ballesteros
One of the strategies adopted to compress CNN models for image classification tasks is pruning, where some elements, channels or filters of the network are discarded. Typically, pruning methods present results in terms of model performance before and aft...
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Ghizlane Hnini, Jamal Riffi, Mohamed Adnane Mahraz, Ali Yahyaouy and Hamid Tairi
Spammers have created a new kind of electronic mail (e-mail) called image-based spam to bypass text-based spam filters. Unfortunately, these images contain harmful links that can infect the user?s computer system and take a long time to be deleted, which...
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Juyong Park and Jongpil Jeong
Wafer chips are manufactured in the semiconductor industry through various process technologies. Photolithography is one of these processes, aligning the wafer and scanning the circuit pattern on the wafer on which the photoresist film is formed by irrad...
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Laura Antonelli, Valentina De Simone and Daniela di Serafino
We present a total-variation-regularized image segmentation model that uses local regularization parameters to take into account spatial image information. We propose some techniques for defining those parameters, based on the cartoon-texture decompositi...
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Timothy Ryan Taylor, Chun-Tang Chao and Juing-Shian Chiou
This paper proposes a new method of image decomposition with a filtering capability. The image state ensemble decomposition (ISED) method has generative capabilities that work by removing a discrete ensemble of quanta from an image to provide a range of ...
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Teresa Kwamboka Abuya, Richard Maina Rimiru and George Onyango Okeyo
Denoising computed tomography (CT) medical images is crucial in preserving information and restoring images contaminated with noise. Standard filters have extensively been used for noise removal and fine details? preservation. During the transmission of ...
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Roopdeep Kaur, Gour Karmakar and Muhammad Imran
In digital image processing, filtering noise is an important step for reconstructing a high-quality image for further processing such as object segmentation, object detection, and object recognition. Various image-denoising approaches, including median, ...
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Li-Wei Lung and Yu-Ren Wang
A construction site features an open field and complexity and relies mainly on manual labor for construction progress, quality, and field management to facilitate job site coordination and productive results. It has a tremendous impact on the effectivene...
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Shaoze You, Hua Zhu, Menggang Li, Yutan Li and Chaoquan Tang
In recent years, discriminative correlation filters (DCF) based trackers have been widely used in mobile robots due to their efficiency. However, underground coal mines are typically a low illumination environment, and tracking in this environment is a c...
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Petra Svobodova, Khyati Sethia, Petr Strakos and Alice Varysova
The segmentation of hepatic vessels is crucial for liver surgical planning. It is also a challenging task because of its small diameter. Hepatic vessels are often captured in images of low contrast and resolution. Our research uses filter enhancement to ...
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Ahmed Abdelmoamen Ahmed and Sheikh Ahmed
Automatic Number Plate Recognition (ANPR) has been widely used in different domains, such as car park management, traffic management, tolling, and intelligent transport systems. Despite this technology?s importance, the existing ANPR approaches suffer fr...
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Chang-Min Kim, Ellen J. Hong, Kyungyong Chung and Roy C. Park
Recently, demand for handwriting recognition, such as automation of mail sorting, license plate recognition, and electronic memo pads, has exponentially increased in various industrial fields. In addition, in the image recognition field, methods using ar...
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Juan Chavat, Sergio Nesmachnow, Andrei Tchernykh and Vladimir Shepelev
This article presents a system for detecting pedestrian movement patterns in urban environments, by applying computational intelligence methods for image processing and pattern detection. The proposed system is capable of processing multiple images and v...
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