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Time: 2021 / 08 / 29 / 05:45:28 It's been a night. I can't believe I'm not sleepy and have the impulse to organize my blog. Just this week, the ability to stay up late suddenly broke through in the absence of a home for several nights. After one night, there is a world of difference. I can stay up night by night. Before, I was worried about my ...

Logistic chaos scrambling, not to mention how complex, is actually very simple. Logistic function is a dynamic system derived from population statistics, and its system equation form is as follows:  X(k+1) = u * X(k) * [1 - X(k)],(k=0,1,...,n) Don't worry about how you get this equation first. If you feel uncomfortable, go to Baidu yourself. ...

1. Background introduction There are few articles on tesseract for OCR character recognition on the network, and it has been a long time. It is inevitable to make mistakes when actually landing. The author has also taken many detours, so sort out a latest document for future generations to consult. 2. Scheme selection At the beginning, there ...

catalogue 1, Basic theory 1. Thought 2. Principle 2, Process Step induction 1. Convert the original image to binary image 2. Open operation denoising 3. Determine the background area (expansion) (get the background / maximum pass area) 4. Determine foreground area (distance transformation) (separation) (get seed / foreground) 5. U ...

1, HOG feature extraction principle    HOG feature extraction process can be divided into five parts: detection window, normalized image, calculating gradient, statistical histogram, normalization of gradient histogram, and obtaining HOG feature vector. Detection window:    HOG divides the image through window and blo ...

1. Introduction 1 PCA 1.1 Data Dimension Reduction The methods of dimension reduction include principal component analysis (PCA), factor analysis (FA), and independent component analysis (ICA). Principal Component Analysis: Find a vector to minimize the sum of projections from each sample to that vector. Factor analysis: Independent component ...

summary This article briefly describes the color space conversion of libswscale based on FFmpeg; Libswscale realizes the conversion of various image pixel formats, such as the conversion between YUV and RGB; Here is a brief introduction to the use of libswscale's color space conversion. technological process Related processes Libswscale is ...

1 Introduction In the process of image processing, we often encounter some operations related to the object contour, such as calculating the perimeter area of the target contour. We can easily obtain the contour of each target by directly using the findContours function of Opencv, but after visualization, the order is disordered, as shown on t ...

I. Introduction 1 Overview BP (Back Propagation) neural network was proposed by the scientific research team headed by Rumelhart and McCelland in 1986. See their paper learning representations by Back Propagation errors published in Nature. BP neural network is a multilayer feedforward network trained by error back propagation algorithm. It i ...

1, SIFT introduction SIFT, scale invariant feature transformation, is a description used in the field of image processing. This description has scale invariance and can detect key points in the image. It is a local feature descriptor. 1. Features of SIFT algorithm (1) It has good stability and invariance, can adapt to the changes of rotation, ...