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Journal articles on the topic 'Target contour'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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1

Yang, Shudi, Jiaxiong Wu, and Zhipeng Feng. "Dual-Fusion Active Contour Model with Semantic Information for Saliency Target Extraction of Underwater Images." Applied Sciences 12, no. 5 (2022): 2515. http://dx.doi.org/10.3390/app12052515.

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Underwater vision research is the foundation of marine-related disciplines. The target contour extraction is significant for target tracking and visual information mining. Aiming to resolve the problem that conventional active contour models cannot effectively extract the contours of salient targets in underwater images, we propose a dual-fusion active contour model with semantic information. First, the saliency images are introduced as semantic information and salient target contours are extracted by fusing Chan–Vese and local binary fitting models. Then, the original underwater images are us

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Hu, Rongchun, Zhenming Peng, Juan Ma, and Wei Li. "CNN-Based Vehicle Target Recognition with Residual Compensation for Circular SAR Imaging." Electronics 9, no. 4 (2020): 555. http://dx.doi.org/10.3390/electronics9040555.

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The contour thinning algorithm is an imaging algorithm for circular synthetic aperture radar (SAR) that can obtain clear target contours and has been successfully used for circular SAR (CSAR) target recognition. However, the contour thinning imaging algorithm loses some details when thinning the contour, which needs to be improved. This paper presents an improved contour thinning imaging algorithm based on residual compensation. In this algorithm, the residual image is obtained by subtracting the contour thinning image from the traditional backprojection image. Then, the compensation informati

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Flaherty, Mary M., Kelsey Libert, and Emily Buss. "Effects of F0 contour depth differences on school-age children’s speech recognition in a two-talker masker." Journal of the Acoustical Society of America 151, no. 4 (2022): A168. http://dx.doi.org/10.1121/10.0010997.

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This study investigated the extent to which children (ages 5–17) can take advantage of differences in fundamental frequency (F0) contour between target and masker speech to improve speech-in-speech recognition. A number of studies show that differences in F0 and F0 contour between talkers support better speech-in-speech recognition for adults, suggesting it is an important cue for recognizing speech in multitalker environments. However, children’s use of F0 contour differences during speech-in-speech recognition is less well understood. In the present study, sentence recognition was measured a

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Zhang, Jianhua, Sheng Liu, Y. F. Li, and Jianwei Zhang. "Target Contour Recovering for Tracking People in Complex Environments." Computational and Mathematical Methods in Medicine 2012 (2012): 1–10. http://dx.doi.org/10.1155/2012/506908.

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Recovering people contours from partial occlusion is a challenging problem in a visual tracking system. Partial occlusions would bring about unreasonable contour changes of the target object. In this paper, a novel method is presented to detect partial occlusion on people contours and recover occluded portions. Unlike other occlusion detection methods, the proposed method is only based on contours, which makes itself more flexible to be extended for further applications. Experiments with synthetic images demonstrate the accuracy of the method for detecting partial occlusions, and experiments o

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Liu, Guoqi, Yifei Dong, Ming Deng, and Yihang Liu. "Magnetostatic Active Contour Model with Classification Method of Sparse Representation." Journal of Electrical and Computer Engineering 2020 (July 1, 2020): 1–10. http://dx.doi.org/10.1155/2020/5438763.

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The active contour model is widely used to segment images. For the classical magnetostatic active contour (MAC) model, the magnetic field is computed based on the detected points by using an edge detector. However, noise and nontarget points are always detected. Thus, MAC is nonrobust to noise and the extracted objects may be deviant from the real objects. In this paper, a magnetostatic active contour model with a classification method of sparse representation is proposed. First, rough edge information is obtained with some edge detectors. Second, the extracted edge contours are divided into t

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Zhang, Li Guo, Mei Jin, Ju Jin, and Guo Hui Yu. "Research of ASM Object Tracking Method Combining Kalman Estimation." Advanced Materials Research 1049-1050 (October 2014): 1595–98. http://dx.doi.org/10.4028/www.scientific.net/amr.1049-1050.1595.

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ASM is a statistical model applied to match contours of non-rigid object. The actual contour may much different from the initial contour and the result is likely to converge to an error contour. Kalman filter is adopted to track the current frame for the prediction and acts as the initial state of the ASM, and then applies the ASM to correct the contour of the object. Experimental results show that the method proposed in this paper allows the model to converge to the target contour quickly and accurately. It has good stability and robustness.

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MUKHERJEE, DIPTI PRASAD, and NILANJAN RAY. "CONTOUR INTERPOLATION USING LEVEL-SET ANALYSIS." International Journal of Image and Graphics 12, no. 01 (2012): 1250004. http://dx.doi.org/10.1142/s0219467812500040.

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We propose a novel approach to generate intermediate contours given a sequence of object contours. The proposal unifies shape features through contour curvature analysis and motion between the contours through optic flow analysis. The major contribution of this work is in integrating this shape and image intensity-based contour interpolation scheme in a level-set framework. The interpolated contours between an initial and a target contour act as missing link and establish a path along which contour deformation has taken place. We have shown that for different application domains such as 3D org

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Peromaa, T.-L., and P. I. Laurinen. "An Illusory Contour Induces Texture Segmentation." Perception 26, no. 1_suppl (1997): 310. http://dx.doi.org/10.1068/v970086.

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It is known that neurons in V1 can signal a contour between two out-of-phase gratings [Grosof et al, 1993 Nature (London)365 550 – 552]. We demonstrate that this type of illusory contour can segregate areas of surfaces without any luminance, contrast, or textural difference between the areas. We have studied the conditions under which the illusory contour induces texture segmentation. The target was a circular contrast-inverted area (diameter 0.22 – 8.3 deg) in the centre of an isotropic narrow-band noise texture (centre spatial frequency 0.4 – 7 cycles deg−1). Generally, segmentation was effo

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Humphreys, Glyn W., and Andrew Olson. "Separating effects of orthographic similarity and contour summation in the identification of masked letter strings." Quarterly Journal of Experimental Psychology Section A 54, no. 4 (2001): 1203–19. http://dx.doi.org/10.1080/713756017.

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We separated effects of contour summation and orthographic similarity under masking conditions, by comparing identification with simultaneous and sequentially presented letter strings, which either did or did not overlap spatially. With overlapping simultaneous stimuli, performance was better for strings with similar contours than for strings with the same letters (the orthographic similarity condition). This suggests that contour summation effects were strongest in the condition where stimuli had similar contours. With sequential presentations, performance in the similar contour and the ortho

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Arnhold, Anja. "What do compounds and noun phrases tell us about tonal targets in Finnish?" Nordic Journal of Linguistics 38, no. 2 (2015): 221–44. http://dx.doi.org/10.1017/s033258651500013x.

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This article compares three accounts of Finnish intonation using a perception experiment with manipulated f0 contours. The experiment involved compound/noun phrase minimal pairs differing in f0 pattern. To address the question of tonal specification, manipulations changed f0 contours of recorded compound words, associating them with f0 patterns having different components of the naturally occurring f0 rise-fall contour. Thus, the study investigated which tonal targets were crucial for the perception of a complete tonal contour inducing a noun phrase interpretation. Results suggested that the f

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11

Zhang, Jian, Hongtu Xie, Lin Zhang, and Zheng Lu. "Information Extraction and Three-Dimensional Contour Reconstruction of Vehicle Target Based on Multiple Different Pitch-Angle Observation Circular Synthetic Aperture Radar Data." Remote Sensing 16, no. 2 (2024): 401. http://dx.doi.org/10.3390/rs16020401.

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The circular synthetic aperture radar (CSAR) has the ability of all-round continuous observation and high-resolution imaging detection, and can obtain all-round scattering information and higher-resolution images of the observation scene, so as to realize the target information extraction and three-dimensional (3D) contour reconstruction of the observation targets. However, the existing methods are not accurate enough to extract the information of vehicle targets. Through the analysis of the vehicle target scattering model and CSAR image characteristics, this paper proposes a vehicle target in

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Dei, Damiano, Nicola Lambri, Sara Stefanini, et al. "Internal Guidelines for Reducing Lymph Node Contour Variability in Total Marrow and Lymph Node Irradiation." Cancers 15, no. 5 (2023): 1536. http://dx.doi.org/10.3390/cancers15051536.

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Background: The total marrow and lymph node irradiation (TMLI) target includes the bones, spleen, and lymph node chains, with the latter being the most challenging structures to contour. We evaluated the impact of introducing internal contour guidelines to reduce the inter- and intraobserver lymph node delineation variability in TMLI treatments. Methods: A total of 10 patients were randomly selected from our database of 104 TMLI patients so as to evaluate the guidelines’ efficacy. The lymph node clinical target volume (CTV_LN) was recontoured according to the guidelines (CTV_LN_GL_RO1) and com

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Liuă, Wenjiao, and Anca Ralescu. "A Contour-Based Feature Extraction Algorithm." Advances in Artificial Intelligence and Machine Learning 04, no. 01 (2024): 2113–27. http://dx.doi.org/10.54364/aaiml.2024.41121.

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Human body recognition is a common problem in computer vision. Currently, most artificial intelligence methods are dependent on the scale of the extracted feature values from the target images during classification, thereby limiting the image size. However, in image recognition, the object’s contour alone is sufficient for humans to distinguish image content. This paper proposes a feature extraction algorithm based on image contours. By utilizing only the contour features of the target image and combining them with machine learning algorithms for classification, it achieves good results even o

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Zhang, Lu Yun, Qiang Wang, Hai Yan Liu, and Gang Wang. "Find Point Correspondences on Contour between Template Image and its Target with SVD and Euclidean Distance." Applied Mechanics and Materials 239-240 (December 2012): 1152–57. http://dx.doi.org/10.4028/www.scientific.net/amm.239-240.1152.

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A new algorithm is presented in this paper to determinate the point correspondences on contour between template image and its target after affine transformation. In the algorithm, the singular value decomposition（SVD）is applied to the contour point sets of the template and target image respectively for eliminating the influences of the shear and scale in the affine transformation. The Euclidean distance between the contour point and the center of the shape are taken as the feature to form the reference sequence and comparative sequences, and then grey relational analysis (GRA) is used to find

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Wang, Jin, Guang Yu Zhu, Guo Dong Lu, Gang Chen, and Dong Liang Zhang. "Research of the Image-Based Fast Design for 3D Toys and Cartoons." Advanced Materials Research 102-104 (March 2010): 45–49. http://dx.doi.org/10.4028/www.scientific.net/amr.102-104.45.

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This paper takes the 2D image of toys and cartoons as reference to assist the amateurs to design 3D models fast and conveniently. A contour deep tracing algorithm is proposed for acquiring the whole contour, and Ferguson interpolation curve is introduced to fit the contours. Taking the control points of Ferguson curves as reference, amateurs can easily sketch curves that fit to the image contours. Decomposing the extracted contours into several feature regions, the users can draw some enclosed component contour curves of the target toys or cartoons, and then adopt proper methods to generate th

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Huang, Chao, Xuewei Chao, Weiji Zhou, and Lijiao Gong. "Combining Improved Meanshift and Adaptive Shi-Tomasi Algorithms for a Photovoltaic Panel Segmentation Strategy." Processes 12, no. 3 (2024): 564. http://dx.doi.org/10.3390/pr12030564.

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To achieve effective and accurate segmentation of photovoltaic panels in various working contexts, this paper proposes a comprehensive image segmentation strategy that integrates an improved Meanshift algorithm and an adaptive Shi-Tomasi algorithm. This approach effectively addresses the challenge of low precision in segmenting target regions and boundary contours in routine photovoltaic panel inspection. Firstly, based on the image information of photovoltaic panels collected under different environments by cameras, an improved Meanshift algorithm based on platform histogram optimization is u

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Tan, Bin, Zhixiong Ma, Xichan Zhu, et al. "Tracking of Multiple Static and Dynamic Targets for 4D Automotive Millimeter-Wave Radar Point Cloud in Urban Environments." Remote Sensing 15, no. 11 (2023): 2923. http://dx.doi.org/10.3390/rs15112923.

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This paper presents a target tracking algorithm based on 4D millimeter-wave radar point cloud information for autonomous driving applications, which addresses the limitations of traditional 2 + 1D radar systems by using higher resolution target point cloud information that enables more accurate motion state estimation and target contour information. The proposed algorithm includes several steps, starting with the estimation of the ego vehicle’s velocity information using the radial velocity information of the millimeter-wave radar point cloud. Different clustering suggestions are then obtained

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Fan, Xiangsuo, Juliu Li, Lei Min, Linping Feng, Ling Yu, and Zhiyong Xu. "Dim and Small Target Detection Based on Energy Sensing of Local Multi-Directional Gradient Information." Remote Sensing 15, no. 13 (2023): 3267. http://dx.doi.org/10.3390/rs15133267.

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It is difficult for traditional algorithms to remove cloud edge contours in multi-cloud scenarios. In order to improve the detection ability of dim and small targets in complex edge contour scenes, this paper proposes a new dim and small target detection algorithm based on local multi-directional gradient information energy perception. Herein, based on the information difference between the target area and the background area in the four direction neighborhood blocks, an energy enhancement model for multi-directional gray aggregation (EMDGA) is constructed to preliminarily enhance the target s

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Xu, Huipu, Wenjie Lu, and Meng Joo Er. "An Integrated Strategy toward the Extraction of Contour and Region of Sonar Images." Journal of Marine Science and Engineering 8, no. 8 (2020): 595. http://dx.doi.org/10.3390/jmse8080595.

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In this paper, an integrated underwater sonar image extraction strategy, which combines two improved methods, namely the level set method (LSM) and the Lattice Boltzmann Method (LBM), is proposed. First, sonar images are processed by a clustering method and a connected domain analysis to generate the target minimum rectangle frame. Next, the segmentation task is decomposed into two subtasks, namely a coarse segmentation task to obtain the initial contour and a fine segmentation task after embedding the initial contour. Finally, the improved LSM is used to obtain the target contour, and the coa

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UEDA, NAONORI, and KENJI MASE. "TRACKING MOVING CONTOURS USING ENERGY-MINIMIZING ELASTIC CONTOUR MODELS." International Journal of Pattern Recognition and Artificial Intelligence 09, no. 03 (1995): 465–84. http://dx.doi.org/10.1142/s0218001495000481.

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This paper proposes a robust method for tracking an object contour in a sequence of images. In this method, both object extraction and tracking problems can be solved simultaneously. Furthermore, it is applicable to the tracking of arbitrary shapes since it does not need a priori knowledge about the object shapes. In the contour tracking, energy-minimizing elastic contour models are utilized, which is newly presented in this paper. The contour tracking is formulated as an optimization problem to find the position that minimizes both the elastic energy of its model and the potential energy deri

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Jones, Mari Riess, Lee Summerell, and Elizabeth Marshburn. "Recognizing Melodies: A Dynamic Interpretation." Quarterly Journal of Experimental Psychology Section A 39, no. 1 (1987): 89–121. http://dx.doi.org/10.1080/02724988743000051.

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Two experiments explore hypotheses about rhythm and contour in recognition of simple pitch strings (melodies). Target melodies that differed with respect to pitch relationships (interval and contour pitch differences) and rhythm, were presented to ordinary listeners who were told to learn the melodies (Phase I). In a subsequent recognition test (Phase II), listeners had to recognize these same target melodies although they were transposed to a different musical key. In recognition, target melodies appeared in the original rhythm or in new rhythms that simulated some pause properties of the ori

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Liu, Shengbo, Yi Guo, and Yandong Zhao. "Research on Target Tracking Algorithm Based on Kernel Correlation." International Journal of Circuits, Systems and Signal Processing 16 (July 26, 2022): 1093–101. http://dx.doi.org/10.46300/9106.2022.16.132.

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With the development of sensor and image processing technology, computer vision plays an increasingly significant role in the chemical engineering because of its characteristics such as low cost, high resolution, and non-contact measurement. In this paper, the motion probability map can be obtained by sparse optical flow based on Harris corner point. Then the coarse contour of silicon dioxide particles which is the input of kernelized correlation filtering (KCF) algorithm can be generalized. KCF algorithm can easily complete tracking task under the influence of disturbance including light chan

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Yang, Yuhan, Shoujun Zhou, Peng Shang, En Qi, Shibin Wu, and Yaoqin Xie. "Contour Propagation Using Feature-Based Deformable Registration for Lung Cancer." BioMed Research International 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/701514.

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Accurate target delineation of CT image is a critical step in radiotherapy treatment planning. This paper describes a novel strategy for automatic contour propagation, based on deformable registration, for CT images of lung cancer. The proposed strategy starts with a manual-delineated contour in one slice of a 3D CT image. By means of feature-based deformable registration, the initial contour in other slices of the image can be propagated automatically, and then refined by active contour approach. Three algorithms are employed in the strategy: the Speeded-Up Robust Features (SURF), Thin-Plate

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Li, Zekun, Baolong Guo, and Fanjie Meng. "Fast Shape Recognition Method Using Feature Richness Based on the Walking Minimum Bounding Rectangle over an Occluded Remote Sensing Target." Remote Sensing 14, no. 22 (2022): 5845. http://dx.doi.org/10.3390/rs14225845.

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Remote sensing target recognition has always been an important topic of image analysis, which has significant practical value in computer vision. However, remote sensing targets may be largely occluded by obstacles due to the long acquisition distance, which greatly increases the difficulty of recognition. Shape, as an important feature of a remote sensing target, plays an important role in remote sensing target recognition. In this paper, an occluded shape recognition method based on the local contour strong feature richness (contour pixel richness, contour orientation richness, and contour d

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Lv, Peng, Qingjie Zhao, Yanming Chen, and Liujun Zhao. "Multiple cues-based active contours for target contour tracking under sophisticated background." Visual Computer 33, no. 9 (2016): 1103–19. http://dx.doi.org/10.1007/s00371-016-1268-2.

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Vasylenko, Mykola, and Maksym Haida. "Video Surveillance System of Target Contour." Electronics and Control Systems 1, no. 67 (2021): 9–14. http://dx.doi.org/10.18372/1990-5548.67.15556.

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The paper considers the problem of object detection and recognition, namely, its solution without the use of expensive, resource-intensive and complex data collection and processing systems, with the possibility of its mobility, ease of installation and initial setup. The available ways and methods of solving the problem, their advantages and disadvantages are given. The operation of the system according to an algorithm developed on the basis of the method of object recognition, namely the selection of contours by a filter based on the Canny operator, is presented. The article presents interme

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Lu, Lei, Ran Gao, Wei Pan, and Wenming Tang. "A Point Cloud Contour Extraction Method based on Plane Segmentation." Frontiers in Computing and Intelligent Systems 7, no. 2 (2024): 21–25. http://dx.doi.org/10.54097/jfqs4b09.

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A method based on plane segmentation and dimensionality reduction for extracting incomplete and slow contour features of object point clouds is proposed. The method consists of two main steps: plane segmentation and contour extraction. In plane segmentation, the random sample consensus (Random Sample Consensus, RANSAC) algorithm is optimized based on principal component analysis (Principal Component Analysis, PCA); the optimized planar point cloud is then subjected to dimensionality reduction, and the contour features are extracted using gradients. Experimental results show that the method can

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Chen, Chen, Songtao Hu, Feng Ma, Jie Sun, Tao Lu, and Bing Wu. "Ship Contour: A Novel Ship Instance Segmentation Method Using Deep Snake and Attention Mechanism." Journal of Marine Science and Engineering 13, no. 3 (2025): 519. https://doi.org/10.3390/jmse13030519.

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Ship instance segmentation technologies enable the identification of ship targets and their contours, serving as an auxiliary tool for monitoring, tracking, and providing critical support for maritime and port safety management. However, due to the different shapes and sizes of ships, as well as the complexity and fluctuation of lighting and weather, existing ship instance segmentation approaches frequently struggle to accomplish correct contour segmentation. To address this issue, this paper introduces Ship Contour, a real-time segmentation method for ship instances based on contours that det

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Zhang, Mei, Dan Meng, Lingling Liu, and Jinghua Wen. "Research on improved level set image segmentation method." PLOS ONE 18, no. 6 (2023): e0282909. http://dx.doi.org/10.1371/journal.pone.0282909.

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Aiming at the shortcomings of the traditional level set model which only has good robustness to the weak boundary and strong noise of the original target image, this paper proposes an improved algorithm based on the no-weight initialization level set model, introducing bilateral filters and using implicit surface level sets to extract and segment the original target image object more accurately, clearly and intuitively in the evolution process. The experimental simulation results show that, compared with the traditional non-reinitialized level set model segmentation method, the improved method

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Marquez, Barbara, Zachary T. Wooten, Ramon M. Salazar, et al. "Analyzing the Relationship between Dose and Geometric Agreement Metrics for Auto-Contouring in Head and Neck Normal Tissues." Diagnostics 14, no. 15 (2024): 1632. http://dx.doi.org/10.3390/diagnostics14151632.

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This study aimed to determine the relationship between geometric and dosimetric agreement metrics in head and neck (H&N) cancer radiotherapy plans. A total 287 plans were retrospectively analyzed, comparing auto-contoured and clinically used contours using a Dice similarity coefficient (DSC), surface DSC (sDSC), and Hausdorff distance (HD). Organs-at-risk (OARs) with ≥200 cGy dose differences from the clinical contour in terms of Dmax (D0.01cc) and Dmean were further examined against proximity to the planning target volume (PTV). A secondary set of 91 plans from multiple institutions valid

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Li, Zhaoping. "A Neural Model of Contour Integration in the Primary Visual Cortex." Neural Computation 10, no. 4 (1998): 903–40. http://dx.doi.org/10.1162/089976698300017557.

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Experimental observations suggest that contour integration may take place in V1. However, there has yet to be a model of contour integration that uses only known V1 elements, operations, and connection patterns.This article introduces such a model, using orient ation selective cells, local cortical circuits, and horizontal intracortical connections. The model is composed of recurrently connected excitatory neurons and inhibitory interneurons, receiving visual input via oriented receptive fields resembling those found in primary visual cortex. Intracortical interactions modify initial activity

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De Weerd, Peter, Robert Desimone, and Leslie G. Ungerleider. "Cue-dependent deficits in grating orientation discrimination after V4 lesions in macaques." Visual Neuroscience 13, no. 3 (1996): 529–38. http://dx.doi.org/10.1017/s0952523800008208.

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AbstractTo examine the role of visual area V4 in pattern vision, we tested two monkeys with lesions of V4 on tasks that required them to discriminate the orientation of contours defined by several different cues. The cues used to separate the contours from their background included luminance, color, motion, and texture, as well as phase-shifted abutting gratings that created an “illusory” contour. The monkeys were trained to maintain fixation on a fixation target while discriminating extrafoveal stimuli, which were located in either a normal control quadrant of the visual field or in a quadran

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Sabouri, Samira, Alireza Behrad, and Hassan Ghassemian. "Deformable Contour-Based Maneuvering Flying Vehicle Tracking in Color Video Sequences." ISRN Machine Vision 2013 (March 19, 2013): 1–14. http://dx.doi.org/10.1155/2013/863923.

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This paper presents a new method for the tracking of maneuvering flying vehicles using a deformable contour model in color video sequences. The proposed approach concentrates on targets with maneuvering motion in sky, which involves fundamental aspect change stemmed from 3D rotation of the target or video camera. In order to segment and track the aircraft in a video, at first, the target contour is initialized manually in a key frame, and then it is matched and tracked automatically in the subsequent frames. Generally active contour models employ a set of energy functions based on edge, textur

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Wang, Jun Ru, Xiao Feng Lu, Yu Chen Wang, and Tian Xiang Fan. "An Optical Flow-Based PIG Method for Active Contour Tracking Initialization." Advanced Materials Research 760-762 (September 2013): 1311–16. http://dx.doi.org/10.4028/www.scientific.net/amr.760-762.1311.

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In this paper, we propose a new optical flow-based Poisson inverse gradient (OFPIG) initialization method for active contour tracking. This method can automatically initialize the contour of moving target for consequent tracking. First, an optical flow based motion detection method is adopted to remove background information, and then a Poisson inverse gradient (PIG) initialization is applied to locate the target region. Finally, parametric active contour is used to evolve the correct target contour depending on the initialization precision. Experimental results have demonstrated its effective

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Meng, Siming. "Noise Elimination and Contour Detection Based on Innovative Target Image Contour Coding Algorithm." Shock and Vibration 2020 (August 24, 2020): 1–8. http://dx.doi.org/10.1155/2020/8895000.

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At present, the image mining is mainly based on its local and key features, which focuses on its texture and statistical grayscale features, but it focuses on its edge and shape features rarely. However, the contour is also an important feature for image shape recognition. In this paper, a good target image contour coding algorithm was adopted, and an LCV segmentation model with good image boundary acquisition capability that can reflect the target image contour features was selected for the original image contour segmentation. The detailed features analysis of the contour coding algorithm was

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SUN, Jin-guang, and Xue WANG. "Instance segmentation method based on target contour." Chinese Journal of Liquid Crystals and Displays 37, no. 4 (2022): 519–29. http://dx.doi.org/10.37188/cjlcd.2021-0236.

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Zhang, Ming Jun, Yuan Yuan Wan, and Zhen Zhong Chu. "Research on Underwater Target Tracking Based on Contour Detection." Advanced Materials Research 317-319 (August 2011): 890–96. http://dx.doi.org/10.4028/www.scientific.net/amr.317-319.890.

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The traditional centroid tracking method over-relies on the accuracy of segment, which easily lead to loss of underwater moving target. This paper presents an object tracking method based on circular contour extraction, combining region feature and contour feature. Through the correction to circle features, the problem of multiple solutions causing by Hough transform circle detection is avoided. A new motion prediction model is constructed to make up the deficiency that three-order motion prediction model has disadvantage of high dimension and large calculation. The predicted position of objec

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Bian, Binchao, and Hui Chen. "Convolutional Neural Network for Ellipse Extended Target Tracking." Chinese Journal of Information Fusion 1, no. 2 (2024): 93–108. http://dx.doi.org/10.62762/cjif.2024.160538.

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In the field of extended target tracking, constrained by the sparse measurement set from radar, the target contour is commonly estimated as an elliptical shape. This paper uses convolutional neural networks to estimate the size and orientation information of extended targets. First, by establishing a systematic model for elliptical extended targets and modeling its measurement information, data normalization, and length equalization operations were conducted to provide reliable measurement data for subsequent neural network processing. Subsequently, through the construction of a convolutional

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Takeichi, Hiroshige. "The Effect of Curvature on Visual Interpolation." Perception 24, no. 9 (1995): 1011–20. http://dx.doi.org/10.1068/p241011.

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The effect of curvature on visual interpolation in partly occluded figures was examined. In experiments 1 and 2, the shape of a visually interpolated contour was measured by using a partially occluded triangle or a partially occluded circle as the target figure. The targets were cut off at both sides, with varying width from trial to trial. In experiment 1, the peak height, which was supposed to represent the shape of the interpolated contour, was measured for each target for each size of the visible part. A significant effect of curvature, as the difference in the peak height between the targ

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Ng, Ivy Weishan, Yu Yang Soon, Francis Ho, et al. "Enhancing radiotherapy planning skills through structured deliberate practice and artificial intelligence integration: A pilot study." Journal of Clinical Oncology 43, no. 16_suppl (2025): 9019. https://doi.org/10.1200/jco.2025.43.16_suppl.9019.

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9019 Background: In many cancer treatment protocols, radiotherapy plays a pivotal role in achieving disease control. A key component of radiotherapy planning is contour delineation, which involves accurately outlining tumors and nearby structures to target radiation effectively and minimize toxicity. However, formal training in this skill often falls short, with surveys indicating up to 80% of learners and practitioners calling for a need for more robust educational methods (Leung et al. J Med Imaging Radiat Oncol 2019). While advances in artificial intelligence (AI) can improve contouring spe

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Blanco, David, Pedro Fernández, Alejandro Fernández, Braulio J. Alvarez, and José Carlos Rico. "The Influence of Image Processing and Layer-to-Background Contrast on the Reliability of Flatbed Scanner-Based Characterisation of Additively Manufactured Layer Contours." Applied Sciences 11, no. 1 (2020): 178. http://dx.doi.org/10.3390/app11010178.

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Flatbed scanners (FBSs) provide non-contact scanning capabilities that could be used for the on-machine verification of layer contours in additive manufacturing (AM) processes. Layer-wise contour deviation assessment could be critical for dimensional and geometrical quality improvement of AM parts, because it would allow for close-loop error compensation strategies. Nevertheless, contour characterisation feasibility faces many challenges, such as image distortion compensation or edge detection quality. The present work evaluates the influence of image processing and layer-to-background contras

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Lian, Jing, Lin Hui Li, Xiao Yong Shen, and Xian Peng Hao. "Multi-Scale Edge Extraction Based Stereo Matching Algorithm." Applied Mechanics and Materials 44-47 (December 2010): 4162–66. http://dx.doi.org/10.4028/www.scientific.net/amm.44-47.4162.

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In the field of robot vision, edge feature based stereo matching algorithm can reconstruct the targets with clear contours, which needs accurate and continuous target edges been extracted. In the paper, the smoothing filter operator was designed based on the discrete criteria of edge extraction and its correspondence optimal linear filter. Edge extraction was carried out incorporated the nonmaximum suppression and two thresholds techniques. The discrete criteria based multi-scale edge extraction method was studied with full use of the multi-scale character of the edge information. The detected

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Jeong, Eunju, Hokyoung Ryu, Geonsang Jo, and Jaehyeok Kim. "Cognitive Load Changes during Music Listening and its Implication in Earcon Design in Public Environments: An fNIRS Study." International Journal of Environmental Research and Public Health 15, no. 10 (2018): 2075. http://dx.doi.org/10.3390/ijerph15102075.

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A key for earcon design in public environments is to incorporate an individual’s perceived level of cognitive load for better communication. This study aimed to examine the cognitive load changes required to perform a melodic contour identification task (CIT). While healthy college students (N = 16) were presented with five CITs, behavioral (reaction time and accuracy) and cerebral hemodynamic responses were measured using functional near-infrared spectroscopy. Our behavioral findings showed a gradual increase in cognitive load from CIT1 to CIT3 followed by an abrupt increase between CIT4 (i.e

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Gvozdenovic, Vasilije. "Perception of illusory contour figures: Microgenetic analysis." Psihologija 37, no. 4 (2004): 451–81. http://dx.doi.org/10.2298/psi0404451g.

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Microgenetic analysis was used to investigate perception of illusory contour figures which represent whole, completed forms on the basis of segmented, incomplete stimulation. The analysis provided an experimental approach to this phenomenon which was standardly investigated phenomenologically. Experimental procedure consisted of two phases: a) priming phase and b) test phase which consisted of visual search task. Two types of visual search tasks were applied: (i) classic detection, in which subjects were detecting presence or absence of the target stimuli and (ii) two-alternative forced choice

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Conci, Markus, Klaus Gramann, Hermann J. Müller, and Mark A. Elliott. "Electrophysiological Correlates of Similarity-based Interference during Detection of Visual Forms." Journal of Cognitive Neuroscience 18, no. 6 (2006): 880–88. http://dx.doi.org/10.1162/jocn.2006.18.6.880.

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Illusory figure completion demonstrates the ability of the visual system to integrate information across gaps. Mechanisms that underlie figural emergence support the interpolation of contours and the filling-in of form information [Grossberg, S., & Mingolla, E. Neural dynamics of form perception: Boundary completion, illusory figures and neon colour spreading. Psychological Review, 92, 173–211, 1985]. Although both processes contribute to figure formation, visual search for an illusory target configuration has been shown to be susceptible to interfering form, but not contour, information [

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Jia, Gui Hong. "Target Location of Industrial Robot Based on Vision." Advanced Materials Research 945-949 (June 2014): 1478–81. http://dx.doi.org/10.4028/www.scientific.net/amr.945-949.1478.

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Vision is the most important way to obtain information from the word. This paper collected the target image using industrial robot vision system, and We get Black and white images using binary image segmentation method, then the contour of each object in the image can be obtained with edge detection and contour extraction, The centroid position was confirmed using minimum enclosing rectangle method after gaining the outline of target. The experimental results show that this method can quickly and accurately obtain multiple target centroid position.

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Komel, Neža Ema, Klemen Kozmus Trajkovski, and Dušan Petrovič. "Upgrade of existing algorithms for creating contour lines on topographic maps of the karst surface." Abstracts of the ICA 2 (October 8, 2020): 1–2. http://dx.doi.org/10.5194/ica-abs-2-19-2020.

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Abstract. Today, many software tools enable the production of contour lines from relief models, but the results of modelling complex karst relief are often inadequate. Reasons for this may be limited quality and resolution of relief models, limitations of algorithms for calculating contours, or limitations of algorithms for smoothing and displaying additional symbols that further describe relief, such as slope lines, steep slopes and smaller objects that cannot be effectively displayed with contours, etc.We will present research in the field of improving existing algorithms in rugged karst ter

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Wu, Jun Peng, and Hai Tao Guo. "Sonar Image Segmentation Based on an Improved Selection of Initial Contour of Active Contour Model." Applied Mechanics and Materials 709 (December 2014): 447–50. http://dx.doi.org/10.4028/www.scientific.net/amm.709.447.

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The correct sonar image segmentation is an important foundation for underwater target recognition. Because the contour convergence of the active contour model depends on the selection of initial position, the active contour model is applied in sonar image segmentation. This paper proposed a selection method based on local standard deviation of image as the outline of initial contour. Due to the disturbance of noise, sonar image is usually affected in resolution and contrast. Firstly, sonar image is enhanced by top-hat and bottom-hat transformation in image morphology. Then after image enhancem

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Zhu, Lingjie, Shuhan Shen, Xiang Gao, and Zhanyi Hu. "Urban Scene Vectorized Modeling Based on Contour Deformation." ISPRS International Journal of Geo-Information 9, no. 3 (2020): 162. http://dx.doi.org/10.3390/ijgi9030162.

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Modeling urban scenes automatically is an important problem for both GIS and nonGIS specialists with applications like urban planning, autonomous driving, and virtual reality. In this paper, we present a novel contour deformation approach to generate regularized and vectorized 3D building models from the orthophoto and digital surface model (DSM).The proposed method has four major stages: dominant directions extraction, find target align direction, contour deformation, and model generation. To begin with, we extract dominant directions for each building contour in the orthophoto. Then every ed

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Wang, Xiaoqi, and Jian Zhang. "An Improved Automatic Shape Feature Extraction Method Based on Template Matching." Journal of Physics: Conference Series 2095, no. 1 (2021): 012053. http://dx.doi.org/10.1088/1742-6596/2095/1/012053.

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Abstract Image shape extraction is an important step in the image analysis, AI electronic industry and automation, as well as a significant part of content-based image retrieval(CBIR), which cannot be separated from contour extraction. However, traditional approach of the border following algorithm is susceptible to noise interference, thus the shape extracted is always complex in real images and cannot express feature of the target image well. Therefore, an improved shape feature extraction method is proposed, which converts color space into HSV model when preprocessing, filters contour by ar

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