![](https://www.researchgate.net/profile/Vijayarani-Mohan/publication/339551773/figure/fig1/AS:863426553315328@1582868340596/Edge-Detection-steps-1-Image-Smoothing-This-step-involves-filtering-the-image-for-noise_Q320.jpg)
![](https://www.researchgate.net/publication/339551773/figure/tbl1/AS:863426553319424@1582868340651/Edge-detection-Accuracy-measure.png)
Edge detection -Accuracy measure
![](https://www.researchgate.net/publication/339034721/figure/fig2/AS:855022426394629@1580864640208/Flow-chart-of-the-remote-apple-growth-monitoring-software-system.jpg)
Flow chart of the remote apple growth monitoring software system
![](https://www.researchgate.net/profile/Vitaliy-Kurlin/publication/338550969/figure/fig5/AS:1058620707979264@1629406253085/Left-378-LSDA-edges-with-28-intersections-on-image-223060-in-BSD-Right-PRIM-with-378_Q320.jpg)
Left: 378 LSDA edges with 28 intersections on image 223060 in BSD
![](https://i1.rgstatic.net/ii/profile.image/1159677798821888-1653500141114_Q64/Suzana-Sanzovo.jpg)
PDF) A Performance Comparison of Edge Detection Techniques for
![](https://www.researchgate.net/publication/365554968/figure/fig1/AS:11431281152895231@1682214802705/Proposed-architecture-for-view-i-where-1-i-3_Q320.jpg)
Shows the original image with noise (a), smoothen image using
![](https://www.researchgate.net/profile/Hooman-Nikmehr-2/publication/339547593/figure/fig2/AS:863363936555013@1582853411896/Delivered-performance-using-different-PSs-for-noise-intensity-of-10-where-26-PSs-marked_Q320.jpg)
Delivered performance using different PSs for noise intensity of
![](https://www.researchgate.net/profile/Isaack-Kamanga/publication/364809034/figure/fig1/AS:11431281092546055@1666889009165/Edge-detection-process-flow-by-the-proposed-algorithm_Q320.jpg)
Shows the original image with noise (a), smoothen image using
![](https://www.researchgate.net/publication/320248404/figure/tbl5/AS:667869738196999@1536243962619/The-Confusion-Matrix-Status-OT-Scene-Database.png)
The Confusion Matrix Status (OT-Scene Database)
The new algorithm PLSD outputs line segments in 8 directions
![](https://www.researchgate.net/publication/320248404/figure/tbl2/AS:667869738184730@1536243962503/Generalized-Co-Occurrence-Matrix-Properties-34.png)
Generalized Co-Occurrence Matrix Properties [34]
![](https://www.researchgate.net/profile/Vijayarani-Mohan/publication/339551773/figure/fig1/AS:863426553315328@1582868340596/Edge-Detection-steps-1-Image-Smoothing-This-step-involves-filtering-the-image-for-noise_Q320.jpg)
Edge Detection steps 1. Image Smoothing: This step involves
![](https://www.researchgate.net/profile/Hooman-Nikmehr-2/publication/339547593/figure/fig1/AS:863363936575491@1582853411856/Performance-comparison-of-672-PSs-for-different-noise-intensities-where-S-and-T_Q320.jpg)
Performance comparison of 672 PSs for different noise intensities
![](https://www.researchgate.net/publication/264867843/figure/fig2/AS:1088952614293507@1636637943943/Using-measures-to-select-optimal-edge-detection-algorithms-a-Original-CT-abdomen_Q320.jpg)
Using measures to select optimal edge detection algorithms. (a