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Edge Detection

5 articles · Page 1 of 1
Network Intelligence Research Center (NIRC)
Network Intelligence Research Center (NIRC)
Aug 1, 2023 · Artificial Intelligence

OpenCV-Based Finger Vein Image Matching: Techniques and Workflow

This article explains the principles of first‑generation biometrics, introduces finger‑vein recognition as a more secure alternative, and details a complete OpenCV workflow—including Gaussian smoothing, histogram equalization, edge detection, SIFT feature extraction, and knnMatch—to preprocess and match finger‑vein images.

BiometricsEdge DetectionFinger Vein Recognition
0 likes · 11 min read
OpenCV-Based Finger Vein Image Matching: Techniques and Workflow
php Courses
php Courses
Jul 24, 2023 · Artificial Intelligence

Image Edge Enhancement Using PHP and OpenCV

This article explains how to perform image edge enhancement by installing PHP and the OpenCV library, importing images, invoking OpenCV functions, selecting edge detection algorithms such as Sobel or Canny, processing the image with custom code, and displaying or saving the enhanced result.

Computer VisionEdge DetectionImage Processing
0 likes · 5 min read
Image Edge Enhancement Using PHP and OpenCV
Tencent TDS Service
Tencent TDS Service
Jun 7, 2018 · Artificial Intelligence

Upgrading HED Edge Detection to TensorFlow 1.7: Refactored Code and New Layer Techniques

This tutorial walks through rewriting the HED edge‑detection network for TensorFlow 1.7, covering deprecated API fixes, migration from TF‑Slim to tf.layers, matrix initialization, batch normalization nuances, and a comprehensive review of convolution variants such as 1×1, depthwise, separable, and dilated convolutions, plus guidance on transposed convolutions and modern architectures like ResNet and Inception.

CNNConvolutionDeep Learning
0 likes · 24 min read
Upgrading HED Edge Detection to TensorFlow 1.7: Refactored Code and New Layer Techniques
Tencent TDS Service
Tencent TDS Service
May 25, 2017 · Artificial Intelligence

Running a CNN on Mobile: TensorFlow & OpenCV Document Detection Guide

This article walks through a real‑world mobile implementation of a convolutional neural network for document detection, covering problem definition, limitations of traditional OpenCV pipelines, the adoption of a HED edge‑detection network, data preparation, model training, TensorFlow library trimming, and deployment tricks for iOS and Android.

CNNDocument DetectionEdge Detection
0 likes · 23 min read
Running a CNN on Mobile: TensorFlow & OpenCV Document Detection Guide