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Analysis and discussion of boundary closed in Image Edge Detection 1

AbstractIn image edge detection, the detected edge is often closed. In this paper, we analyze two common algorithms: The Harf transform and the Canny edge detection algorithm. Finally, discuss the criteria that edge operators should satisfy. KeywordsEdge detection, closed, Harf transformation, and Canny operator 1 IntroductionThe edge of an image refers to the a

R-cnn,spp-net, FAST-R-CNN,FASTER-R-CNN, YOLO, SSD series deep learning detection method combing

1. R-cnn:rich feature hierarchies for accurate object detection and semantic segmentationTechnical route: Selective search + CNN + SVMsSTEP1: Candidate Box extraction (selective search)Training: Given a picture, use the Seletive search method to extract 2000 candidate boxes from it. Due to the size of the candidate boxes, considering that the subsequent CNN requires a uniform image size, the 2000 candidate boxes all resize to the 227*227 resolution (i

One of the target detection (traditional algorithm and deep learning source learning) __ algorithm

One of the target detection (traditional algorithm and deep learning source learning) This series of writing about target detection, including traditional algorithms and in-depth learning methods will involve, focus on the experiment and not focus on the theory, theory-related to see the paper, mainly rely on OPENCV. First, what is the target detection algorithms

The procedure of pupil precise detection based on OPENCV and QT

This article is for the graduation design written by the pupil accurate examination procedures, declined any form of reprint.This blog is the author of the first two blog " QT and OpenCV - based camera (local image) Read and output program " and " based on OpenCV and QT Human Face (human eye) detection program based on the development. The main principle is: to detect the human eye area image, using edge detectio

Research and implementation of skin region detection algorithm in color image based on Bayesian decision

First, Background introductionSkin detection has been widely used in many computer applications such as face recognition and tracking, gesture recognition, image retrieval and classification. The above research topics must solve a fundamental problem, that is, the image is precisely divided into two areas of the skin and background, the accuracy of the division is directly affecting the precision and performance of the follow-up work, so skin

How to use network intrusion detection system to prevent hacker attack

This paper aims at the vulnerabilities of intrusion detection system to understand the hacker's intrusion methods. Once the network intrusion detection system is installed, the network intrusion detection system will analyze the hacker attacks on the Internet, and you can use the counterattack function of this intrusion detec

An analysis of the scale invariance in Object Detection–snip paper interpretation

ObjectiveOriginally wanted to follow the convention to a overview, the result saw a very good and detailed introduction, so copy over, their own in front of the general summary of the paper, the details do not repeat, citing the article is very detailed.Paper Overview Citation articleThe following are from: http://lowrank.science/SNIP/This log records some notes on the following article CVPR 2018 Oral. Singh B, Davis L S. An analysis of scale invariance in Object

"Paper reading" illuminating pedestrians via simultaneous Detection & segmentation

paper SourcesICCV2017 ARXIV report GitHub code (CAFFE-MATLAB) The main problem in this paper is pedestrian detection. The author discusses how to apply semantic segmentation to pedestrian detection and improve the detection rate without damaging the detection efficiency. The author proposes a semantic Fusion network (s

Cvcanny function of Image edge detection--OPENCV

Cvcanny function of Image edge detection--OPENCV Category: C/ void Cvcanny (const cvarr* image, cvarr* edges, double threshold1, double threshold2, int aperture_size=3); Image single-channel input images. Edges the output image of a single-channel storage edge threshold1 The first threshold threshold2 the second threshold Aperture_sizesobel operator kernel size (see Cvsobel). The function Cvcanny uses the CANNY algorithm to discover the edges of the i

Play Turn Android Camera Development (V): real-time detection of face and face frame based on Google's own algorithm (Network starter, complete demo).

This article mainly introduces the use of Google's own facedetectionlistener for face detection, and the detection of the face with a rectangular frame drawn out. This code is based on PlayCameraV1.0.0 and has been changed on the camera's open and preview processes. Originally placed in a separate thread, this time I put it into the Surfaceview life cycle to open and preview.First of all to reflect on, last

Intrusion Detection: The third force of Network Security

With the development of network security technology, apart from firewall and anti-virus system protection, intrusion detection technology has become an effective way to defend against hacker attacks. Although the intrusion detection technology is still evolving, the market for intrusion detection products is growing, and the third wave of network security has bee

Linux Rootkit detection method based on memory Analysis

Linux Rootkit detection method based on memory Analysis0x00 Introduction A Linux server finds an exception. For example, it is determined that the Rootkit has been implanted, but the routine Rootkit detection method by O M personnel is invalid. What else can we do in this situation? Figure 1 Linux Server implanted with Rootkit All html files with hidden links cannot be seen by ls. Use the absolute ls-al

Detection of Webshell

Original address: http://www.freebuf.com/articles/others-articles/71604.html(the original text is mainly aimed at spy type Webshell detection to discuss, the first part introduces the traditional method of detection Webshell, then find out the shortcomings of the traditional method, put forward a new method for Spy Webshell, this article mainly focus on its traditional methods of introduction) at present, t

From entry to entry: Rootkit detection, removal, and prevention

Rootkit is a program that can access the computer or computer network as an administrator. Typically, hackers obtain user-level access by exploiting known vulnerabilities or password cracking to install rootkit on a computer. After the Rootkit is installed, it will allow attackers to conceal their intrusions and gain access to the computer at the root or privileged level, if possible, you can also obtain access to other computers on the network. Rootkit threats Generally, Rootkit itself is not a

Analysis of Internal attack detection methods based on user file objects

Analysis of Internal attack detection methods based on user file objects Preface A few days ago, I saw an article on FB about the application of machine learning in the security field, "is machine learning ready for the security industry?". It seems that in the era of big data analysis, active security detection and identification using machine learning as a typical analysis method have gradually become the

A 3D Game collision detection Solution

Collision Detection on3DThe game is crucial. A good collision detection requires that the characters can be smoothly moved in the scene, and the steps within a certain height can automatically go up, while the high steps block people, when a slope with a small slope can be up, the slope is too large to block people, in the case of various forward direction is blocked, we should try to let the characters sli

OpenCV Pedestrian Detection _opencv

Note: This article is translated from: pedestrian detection OpenCV. Do you know the built-in pedestrian detection method inside the OpenCV? In OpenCV, there is a hog+ linear SVM model that can detect pedestrians in images and videos. If you are not familiar with the directional gradient histogram hog and linear SVM method, I suggest you read the direction gradient histogram and object

Linux Rootkit detection method based on memory Analysis

Linux Rootkit detection method based on memory Analysis0x00 Introduction A Linux server finds an exception. For example, it is determined that the Rootkit has been implanted, but the routine Rootkit detection method by O M personnel is invalid. What else can we do in this situation? Figure 1 Linux Server implanted with Rootkit Figure 2 general process of system command execution in Linux0x01 Rootkit im

Intrusion Detection Based on Wireless Networks

0. Introduction With the development of wireless technology and network technology, wireless networks are becoming a hot spot in the market. However, with the improvement of hacker technology, wireless LAN (WLAN) is under more and more threats. Wireless networks are not only attacked based on the traditional wired network's TCP/IP architecture, but may also be threatened by security issues based on the IEEE 802.11 standard. In order to better detect and defend against these potential threats, th

Measure the test taker's knowledge about how to use the intrusion detection system to prevent hacker attacks.

For the vulnerabilities in the intrusion detection system, let's take a look at hacker intrusion techniques. Once the network intrusion detection system is installed, the network intrusion detection system will analyze the online hacker attack events for you, and you can use the counterattack function of this intrusion detect

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