Dilated Filters for Edge-Detection Algorithms

Orhei, Ciprian; Bogdan, Victor; Bonchiş, Cosmin; Vasiu, Radu

doi:10.3390/app112210716

Cited by 17 publications

(4 citation statements)

References 58 publications

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“…The algorithm mainly includes the following stages: first, using geometric invariants [ 27 ] (i.e., feature number construction), matching point pairs are added and refined. Next, edge contours in the stitched images are detected using edge detection methods [ 36 , 37 ], and subsequently, local edge contour features are extracted and matched from the obtained detection results. Then, local edge contour features are used to constraint global allocation and perform grid optimization.…”

Section: Methodsmentioning

confidence: 99%

Research on Image Stitching Algorithm Based on Point-Line Consistency and Local Edge Feature Constraints

Ma,

Li,

Liu

et al. 2024

Entropy

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Image stitching aims to synthesize a wider and more informative whole image, which has been widely used in various fields. This study focuses on improving the accuracy of image mosaic and proposes an image mosaic method based on local edge contour matching constraints. Because the accuracy and quantity of feature matching have a direct influence on the stitching result, it often leads to wrong image warpage model estimation when feature points are difficult to detect and match errors are easy to occur. To address this issue, the geometric invariance is used to expand the number of feature matching points, thus enriching the matching information. Based on Canny edge detection, significant local edge contour features are constructed through operations such as structure separation and edge contour merging to improve the image registration effect. The method also introduces the spatial variation warping method to ensure the local alignment of the overlapping area, maintains the line structure in the image without bending by the constraints of short and long lines, and eliminates the distortion of the non-overlapping area by the global line-guided warping method. The method proposed in this paper is compared with other research through experimental comparisons on multiple datasets, and excellent stitching results are obtained.

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Section: Methodsmentioning

confidence: 99%

Research on Image Stitching Algorithm Based on Point-Line Consistency and Local Edge Feature Constraints

Ma,

Li,

Liu

et al. 2024

Entropy

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“…The first-order derivation approach works by looking at minimum and maximum and second-order derivation works by crossing zero. The gradient-based methods i.e., Kirsch Compass and Robinson operator show very stimulating results in the field of image processing [23], [24] and [25]. Wu Y et al proposed a morphological gradient-based color image segmentation method.…”

Section: Gradient Based Methodsmentioning

confidence: 99%

An Astute Automaton Model for Objects Extraction Using Outer Totality Cellular Automata (OTCA)

Sharma,

Basheer

et al. 2023

IEEE Access

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Object formation is imperative to the recent computer vision, pattern recognition, healthcare, and automation applications. The objects are generated from images by defining edges and the segmentation process. This article introduced a novel method, Outer Totality Cellular Automata (OTCA), for defining actual and continuous edges of the image objects. The OTCA analysis nearby 25 neighbourhood pixels of all the pixels and generate a unique and efficient threshold. The proposed method has three primary functions, i.e. vitality, rule mapping, and improved morphological functions. The key objectives are image smoothing, neighbourhood analysis, defining game of life rule, and edges smoothing. Notably, the proposed method aimed to segment different coloured images, i.e., RGB, HSV, and YUV. The proposed method also aimed to produce more truthful results on blurred, reflected, shaded night vision images. The experimental process demonstrates using standard open-source datasets and validated using image quality assessment parameters, i.e., entropy, PSNR, SSIM, and MSE. The results claim 3% − 12% more structural analogous, factual, and accurate than existing classical methods and recent searches.

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“…The Canny operator is a classical image edge detection method with a short operation time and a relatively simple computation process [19][20][21].…”

Section: Study Of Edge Extraction Algorithmmentioning

confidence: 99%

Visual Detection Method for Missing Infusion Bag Pipeline

et al. 2023

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As an essential medical device, a bag infusion set is often used for intravenous infusion, and an infusion bag is an essential part of the bag infusion set. Due to the unavoidable defects in the production process, quality detection of infusion bags is critical to ensure the use quality of the infusion set. In this paper, we adopt a machine vision system to inspect the assembly quality of the lanyard and dosing interface of liquid bag assembly and conduct in-depth discussion and research from image acquisition, a defect detection strategy, and a defect detection algorithm of a vision system for two defects of lanyard missing and dosing interface missing. The design of the image acquisition auxiliary mechanism is realized to solve the complex problem of image acquisition due to the irregular shape of the liquid bag assembly; based on determining the defect detection strategy, the algorithm study of contour extraction is finally completed through comparison experiments to extract a precise contour of the liquid bag piping area; finally, the virtual straight line method is proposed and combined with the ROI selected according to the position feature of the outer rectangle of the contour in this paper, the count of the number of contours is completed, and the defect detection goal is finally achieved. The pipeline defect detection rate of the method proposed in this paper reaches 100%, which can perfectly replace the existing manual visual inspection and reduce the employment cost of enterprises.

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Dilated Filters for Edge-Detection Algorithms

Cited by 17 publications

References 58 publications

Research on Image Stitching Algorithm Based on Point-Line Consistency and Local Edge Feature Constraints

Research on Image Stitching Algorithm Based on Point-Line Consistency and Local Edge Feature Constraints

An Astute Automaton Model for Objects Extraction Using Outer Totality Cellular Automata (OTCA)

Visual Detection Method for Missing Infusion Bag Pipeline

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