21 papers · ranked by Valyu relevance
Xi Zhang, Zixie Guo, Xiangwei Liu, Longjia Zhang
Tool safety is an important part of machining and machine tool safety, and machine tool path image detection can effectively obtain the in-machine condition of a tool. To obtain an accurate image edge and improve image processing accuracy, a novel subpixel edge detection method is proposed in this study. The precontour…
Devin T. Renshaw, John A. Christian
Many modern sensing systems rely on the accurate extraction of measurement data from digital images. The localization of edges and streaks in digital images is an important example of this type of measurement, with these techniques appearing in many image processing pipelines. Several approaches attempt to solve this…
Yingyuan Yang, Guoyuan Liang, Xianwen Wang, Kaiming Wang + 2 more
To satisfy the rigorous requirements of precise edge detection in critical high-accuracy measurements, this article proposes a series of efficient approaches for localizing subpixel edge. In contrast to the fitting based methods, which consider pixel intensity as a sample value derived from a specific model. We take an…
Xin Bai, Mijia Yang, Beena Ajmera
A non-contact vision sensor system for monitoring structural displacements with advanced Zernike subpixel edge detection technique is suggested in this paper. Edge detection can detect features of objects effectively without using templates. Subpixel techniques provide more accurate and cost-effective results when…
Jacob M. Graving, Daniel Chae, Hemal Naik, Liang Li + 3 more
Quantitative behavioral measurements are important for answering questions across scientific disciplines—from neuroscience to ecology. State-of-the-art deep-learning methods offer major advances in data quality and detail by allowing researchers to automatically estimate locations of an animal’s body parts directly…
Gang Liu, Mengzhu Li, Weiqing Zhang, Jiawei Gu
Digital image correlation (DIC) for displacement and strain measurement has flourished in recent years. There are integer pixel and subpixel matching steps to extract displacement from a series of images in the DIC approach, and identification accuracy mainly depends on the latter step. A subpixel displacement matching…
Albert Dominguez Mantes, Antonio Herrera, Irina Khven, Anjalie Schlaeppi + 6 more
The identification of spot-like structures in large and noisy microscopy images is an important task in many life science techniques, and it is essential to their quantitative performance. For example, imaging-based spatial transcriptomics (iST) methods rely critically on the accurate detection of millions of…
Huakun Li, Bingyao Tan, Vimal Prabhu Pandiyan, Veluchamy Amutha Barathi + 3 more
Phase-sensitive Fourier-domain optical coherence tomography (FD-OCT) enables in-vivo, label- free imaging of cellular movements with detection sensitivity down to the nanometer scale, and it is widely employed in emerging functional imaging modalities, such as optoretinography (ORG), Doppler OCT, and optical coherence…
Sulaimon Balogun, Andreas E. Vasdekis
Optical imaging systems are fundamentally constrained by a tradeoff between field of view (FoV) and spatial resolution. Long working-distance objectives, routinely used in biological imaging and especially in light-sheet microscopy, provide large FoV but reduced numerical aperture (NA) and magnification, broadening the…
Junzheng Peng, Manhong Yao, Zixin Cai, Xue Qiu + 3 more
'Shiping Li' 'Jingang Zhong'] Abstract: Digital two-dimensional (2D) spatial sampling devices (such as charge-coupled device) have been widely used in various imaging systems, especially in computational imaging systems. However, the undersampling of digital sampling devices is a problem that limits the resolution of…
Hongli Jiang, S. Hessam M. Mehr
The availability, portability, and low cost of electronic devices have made them a prime candidate for the rapid detection of chemical particles. Here we designed a chemical particle detection system based on a Raspberry Pi camera to detect micron droplets generated by ultrasonic atomizers. Through the analysis of…
Abhishek Kumar Kashyap, Rajesh Singh Parmar, Megha Agarwal, Hariom Gupta
'Hariom Gupta'] Abstract—With the headway of the advanced image handling software and altering tools, a computerized picture can be effectively controlled. The identification of image manipulation is vital in light of the fact that an image can be utilized as legitimate confirmation, in crime scene investigation, and…
Shihao Zhang, Weiyao Lin, Ping Lü, Weihua Li + 1 more
Object detection is an important yet challenging task in video understanding & analysis, where one major challenge lies in the proper balance between two contradictive factors: detection accuracy and detection speed. In this paper, we propose a new adaptive patch-of-interest composition approach for boosting both the…
Yizhi Wang, Congchao Wang, Petter Ranefall, Gerard Broussard + 5 more
Synapses are essential to neural signal transmission. Therefore, quantification of synapses and related neurites from images is vital to gain insights into the underlying pathways of brain functionality and diseases. Despite the wide availability of synapse imaging data, several issues prevent satisfactory…
Authors not listed
Localized detection of hydrogen permeation in steel membranes is crucial for practical applications but remains challenging. We present a reflective microscopy (RM) approach combined with machine learning (ML)-driven image analysis to address this issue. Hydrogen permeation in press-hardened steel alters the…
Chin Hong Ooi, Nam-Trung Nguyen, Gregor Kijanka
Protein arrays are systematically arranged, large collections of annotated proteins on planar surfaces commonly used for the characterisation of protein binding events against a wide range of possible probes. These may include analyses of protein-protein, peptide-protein, enzyme-substrate or antibody-antigen…
Hasara Maithree, Dilan Dinushka, Adeesha Wijayasiri
Many researches have been carried out for change detection using temporal SAR images. In this paper an algorithm for change detection using SAR videos has been proposed. There are various challenges related to SAR videos such as high level of speckle noise, rotation of SAR image frames of the video around a particular…
Minati Mishra, M. C. Adhikary
Digitization of images has made image editing easier. Ease of image editing tempted users and professionals to manipulate digital images leading to digital image forgeries. Today digital image forgery has posed a great threat to the authenticity of the popular digital media, the digital images. A lot of research is…
Alexander E. Siemenn, Eunice Aissi, Fang Sheng, Armi Tiihonen + 3 more
In materials research, the task of characterizing hundreds of different materials traditionally requires equally many human hours spent measuring samples one by one. We demonstrate that with the integration of computer vision into this material research workflow, many of these tasks can be automated, significantly…
Sai Pavan Tadem
This is a review paper of traditional approaches for edge, corner, and boundary detection methods. There are many real-world applications of edge, corner, and boundary detection methods. For instance, in medical image analysis, edge detectors are used to extract the features from the given image. In modern innovations…
S. Anand, R. Prabhadevi, D. Rini
In this paper an algorithm to detect the optic disc (OD) automatically is described. The proposed method is based on the circular brightness of the OD and its correlation coefficient. At first the peak intensity points are taken, a mask is generated for the given image which gives the circular bright regions of the…