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Edge influence

description19 papers
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lightbulbAbout this topic
Edge influence refers to the impact that the boundaries or edges of a habitat or ecosystem have on ecological processes, species interactions, and biodiversity. It examines how the transition between different environments affects species distribution, behavior, and community dynamics, often highlighting the significance of habitat fragmentation and connectivity.
lightbulbAbout this topic
Edge influence refers to the impact that the boundaries or edges of a habitat or ecosystem have on ecological processes, species interactions, and biodiversity. It examines how the transition between different environments affects species distribution, behavior, and community dynamics, often highlighting the significance of habitat fragmentation and connectivity.

Key research themes

1. How can edge detection be optimally designed and quantitatively evaluated to balance detection accuracy, localization precision, and noise robustness?

This research area focuses on the mathematical formulation, algorithmic design, and objective measurement of edge detectors, emphasizing the trade-offs between sensitivity to true edges, precise edge localization, and resilience to noise or spurious detections. Advancements here impact numerous computer vision tasks requiring robust edge maps for subsequent analyses.

Key finding: This foundational paper formulates three precise criteria for edge detectors—good detection (maximizing signal-to-noise ratio), good localization (minimizing edge position error), and uniqueness of response (only one response... Read more
Key finding: Introduces a comprehensive reference-based edge quality metric (RBEM) that integrates four component measures addressing edge pixel presence, corner localization, edge thickness, and connectivity, explicitly quantifying... Read more
Key finding: Identifies the critical necessity to optimally select the Gaussian smoothing factor in the Canny edge detector by maximizing Canny’s discrete criterion function to achieve the best detection-localization balance, and shows... Read more
Key finding: Provides a systematic comparison of classical (Sobel, Prewitt, Roberts, Canny, Laplacian of Gaussian) and soft computing (fuzzy logic, genetic algorithms, neural networks) edge detection methods, highlighting the challenges... Read more
Key finding: Presents modifications of the classical Sobel edge detector by incorporating preprocessing steps such as Gaussian smoothing to remove noise and using gradient direction information to enforce edge thinning via non-maximum... Read more

2. How can edge-related filtering and enhancement techniques be designed to improve image restoration, sharpening, and noise reduction without introducing artifacts?

This theme explores novel algorithmic developments that leverage nonlinear filtering, edge gradient restoration, and advanced kernel designs (including dilated and extended filters) to enhance image features such as edges while suppressing noise and artifacts like ringing or halos. These techniques are crucial for improving the perceptual quality and accuracy of images in applications spanning medical diagnostics to remote sensing.

Key finding: Proposes a cyclical restoration algorithm combining linear restoration with median-window filtering to selectively enhance edge gradients up to five times without introducing ringing artifacts such as Gibbs oscillations. The... Read more
Key finding: Evaluates and compares the effectiveness of extended and dilated convolution kernels in image sharpening operations, demonstrating that dilated kernels generally outperform extended kernels in enhancing edge sharpness while... Read more
Key finding: Presents a novel asymmetric bi-logistic function model to fit the empirically measured edge spread function (ESF) in paper-ink printing systems, uniquely separating mechanical and optical dot gain contributions responsible... Read more

3. How do visual edge influence phenomena affect perceptual organization, filling-in processes, and aesthetic preferences in images?

This research theme investigates the perceptual and cognitive effects of edges in visual stimuli, including how edges trigger surface filling-in mechanisms, contribute to phenomena such as afterimages, modulate perceived brightness, and influence aesthetic preference for shape curvature. Understanding edge influence on perception bridges neuroscience, psychology, and computer vision.

Key finding: Develops a computational model where chromatic edges trigger a diffusion-based filling-in process that predicts both positive and negative afterimage effects depending on spatial location of remaining contours relative to... Read more
Key finding: Demonstrates that the perceived brightness of uniform surfaces enclosed by edges is modulated by edge sharpness using psychophysical measures and Stevens' power law. By manipulating edge smoothing filters, the study reveals... Read more
Key finding: Through three experiments using abstract shapes, this study confirms that humans show robust, immediate visual preference for smooth curved contours over angular shapes, independent of visual complexity. The preference effect... Read more
Key finding: Proposes a computational framework that uses detected intensity edges and junction configurations to infer optimal image organization involving multiple ordered surfaces with salience-based ordering. The model explains why... Read more

All papers in Edge influence

Fragmentation and habitat loss contribute considerably to global declines of amphibians and reptiles. However, few studies focus on forest edges, created during the fragmentation process, as proximate drivers of the local demographic... more
This paper describes implementation of image processing algorithms on FPGA. Currently, implementation of image processing algorithms using software approach is slower due to limited speed of the processor. So a dedicated processor for... more
Federated Learning (FL) is an essential privacy-preserving AI paradigm where your AI training can happen in a federated manner i.e without sharing of raw data in cloud environments. Nevertheless, the traditional FL suffers from... more
Objective: The main aim of this study is to determine the effect of Mangiferin on the pharmacokinetics of Atorvastatin in hyperlipidemic rats. Methods: The plasma concentration of Atorvastatin (ATR) to the time profile was calculated... more
Artificial Intelligence (AI) and the Internet of Things (IoT) are just two of the new technologies that have changed the way things are made thanks to Industry 4.0. Traditional AI systems, on the other hand, have problems with delay,... more
Objectives Co-administration of posaconazole (PSZ) and vincristine (VCR) in the treatment of patients with acute lymphoblastic leukemia increases the neurotoxicity of VCR. Our aim is to study the effect of increased lipoprotein levels on... more
Co-administration of posaconazole (PSZ) and vincristine (VCR) in the treatment of patients with acute lymphoblastic leukemia increases the neurotoxicity of VCR. Our aim is to study the effect of increased lipoprotein levels on the... more
The proposed work presents FPGA based architecture for Sobel edge detection operator. It has found application in forensic science and also in digital multimedia for creating image dazzling effect. Currently the image processing... more
Edge detection is an important tool in digital image processing applications for extracting information from image. Sobel operator based edge detection algorithm creates an image which highlights edges and transitions. In real-time image... more
Soils are one of the largest terrestrial pools of carbon, yet there is still little understanding of spatial variability for ecosystems in the tropics. Fire plays an important role in neotropical savannas ecosystems and significantly... more
Environmental pollution by toxicants has become one of the most important problems in the world. Water pollution problem is due to uncontrolled solid and liquid domestic, in addition to agrochemical contamination and lack of sustainable... more
The effect of the adjacent non-forested environment on the forest near the edge, edge influence (EI), is an important impact in fragmented landscapes and is believed to vary with factors such as forest structure and edge contrast. In... more
A bioequivalence and pharmacokinetics profiles of two doxycycline powder formulations (Providox ® and Doxyvet 0-50 S ) were compared in 24 healthy chickens following administration of a single oral dose ® (20 mg/kg bw). Serial blood... more
Reoccurring accidents that appear to involve few people frequently go unnoticed. Yet such accidents—like the disasters described in this chapter—are often linked to global phenomena that have long-term impact on society and the... more
Objective: To study the pharmacokinetic profile of atorvastatin in experimental hepatotoxic untreated and treated rats with N-acetyl cysteine and Costus pictus with special reference to assess the functional status of CYP3A4. Materials... more
Co-administration of posaconazole (PSZ) and vincristine (VCR) in the treatment of patients with acute lymphoblastic leukemia increases the neurotoxicity of VCR. Our aim is to study the effect of increased lipoprotein levels on the... more
The aim of this study was to investigate the biliary secretion of rosuvastatin in healthy volunteers using an intestinal perfusion method after administration of 10 mg rosuvastatin dispersion in the intestine. Methods: The Loc-I-Gut tube... more
This paper presents an efficient architecture for various image filtering algorithms and tumor characterization using Xilinx System Generator (XSG). This architecture offers an alternative through a graphical user interface that combines... more
Objective: To study the pharmacokinetic profile of atorvastatin in experimental hepatotoxic untreated and treated rats with N-acetyl cysteine and Costus pictus with special reference to assess the functional status of CYP3A4. Materials... more
The study was conducted to assess the functional status of CYP3A4 substrate (atorvastatin) in hepatotoxicity model treated with silymarin and rutin for a period of 14 days in rats. Hepatotoxicity was induced with acetaminophen (500 mg/Kg... more
Aim: To assess the functional status of CYP3A4 substrate in experimental induced hepatotoxicity treated with N-acetyl L-cysteine and Green tea extract for a period of 14 days in rats. Materials and methods: Twenty four Wistar rats were... more
Absorption a b s t r a c t Aim: The aim of this study was to investigate the biliary secretion of rosuvastatin in healthy volunteers using an intestinal perfusion method after administration of 10 mg rosuvastatin dispersion in the... more
Este artículo presenta un detector de aristas y esquinas, implementado en el dominio del proyecto GEIST (un Sistema de Información Turística Asistido por Computador) para extraer la información de aristas rectas y sus intersecciones... more
To investigate impact of hyperlipidemia on clarithromycin pharmacokinetics in Wistar rats, hyperlipidemia was successfully induced by providing high fat diet (rich of cholesterol) for 6-8 weeks. Pharmacokinetic parameters of... more
Effects of diabetes mellitus induced by streptozotocin (DMIS) on the pharmacokinetics of Gatifloxacin were investigated after i.v and oral administration (50mg/mg) to control Sprague-Dawley rats and DMIS rats (at 7 th and 29 th days after... more
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