A Quickly Dewarping Algorithm of Optimization Processing Strategy Our proposed (A Quickly Dewarping Algorithm of Optimization Processing Strategy) was accepted to the engineering technology application conference in 2019 . The conference place is in the College of Engineering of the Taipei City University of Science & Technology (TPCU) in Taiwan (R.O.C.), and Conference Date on 12th April, 2019. Recently, the applications of the panoramic image are useful progressively more and more. The advantage is one camera that is able to catch 360-degree image. However, the 360-degree image is a circle image. Therefore, the Dewarping technology is helpful that the circle image transforms into a plane image. In this study, do not need to refer to extra information, such as camera parameters, lens parameters, video or image parameters, etc. The Optimization Processing Strategy for the Dewarping Algorithm is proposed in this study. The Strategy and the Algo...

Improve on the Linear-Time Component-Labeling Algorithm Our proposed was accepted to the international conference on Information Technologies and Practices in 2019 . The conference place is in the School of Information Technology of the Ming Chuan University in Taiwan (R.O.C.), and Conference Date on 15th March, 2019. We provide the files of our study that the source code of the CCL, FastCCL execution file, and experiment files. These files are in the GitHub, and the hyperlink is https://github.com/laitaiyu/ImageProcessing__FastLCL A new high-performance linear time algorithm is presented in this article using contour tracing technique and these contours is in binary images. The main step of this algorithm is to use a contour tracing technique to detect the external contour of each component, and also to identify and label the interior area of each component. Labeling is done in a single pass over the image. Moreover, no relabeling is required throughout th...

Fast Binarization Algorithm for VC# 2012 Fast Binarization Algorithm for VC# 2012 ¶ Introduction ¶ Sometimes, we need to convert color images to black and white ones. Examples include black and white fax machines and photocopiers, both of which require conversion of color images to black and white ones. For this purpose, there are several approaches such as binarization and dithering, each of which includes several variations. The former includes Japanese invented Otsu’s method for automatic thresholding and the simplest fixed thresholding method. To make it possible for readers to understand, all the program examples in this paper are accompanied with English comments so that readers not only can comprehend, but can also read the codes with ease. If you have these development tools, you can open the attached source codes. Whether you choose to compile or interpret them, you can run single-step debugging to check the computat...

Image Binarization Using 10 Program Languages Image binarization using 10 program languages. ¶ Download source code https://drive.google.com/open?id=0BzHb_OyLyVZlVHN1ZjVQVW9jR2c Brief ¶ Sometimes, we need to transform color images to monochrome image. There is one way that it is very simple to help you to do. Usage ¶ Visual C++ 2010 ¶ // The height of the image. for ( int iY = 0; iY < imageA->DibInfo->bmiHeader.biHeight; iY++ ) { // The width of the image. for ( int iX = 0; iX < imageA->DibInfo->bmiHeader.biWidth; iX++ ) { // The index of pixel, because we use the three depth bit to present one pixel of color. // Therefore, we have to multiple three. lIDXA = ( iX * 3 ) + ( iY * imageA->DibInfo->bmiHeader.biWidth * 3 ); // To get the pixel depth of the blue channel. byteRGB_BA = imageA->DibArry[lIDXA+0]; ...

How To Use A Simple To Filter The Skin Color? How to use a simple to filter the skin color? ¶ Introduction The skin filter can filter to skin color. There is a simple rule to filter the skin color. We operate in YUV color space and find out skin pixels. Equipment Operation System: Microsoft Windows 7 (64 bit) Development Utility: Microsoft Visual Studio 2010 Usage // The height of the image. for ( int iY = 0; iY < image->DibInfo->bmiHeader.biHeight; iY++ ) { // The width of the image. for ( int iX = 0; iX < image->DibInfo->bmiHeader.biWidth; iX++ ) { // The index of the image. We use 24 bits of depth. So we need to be multiplied by three. lIDX = ( iX * 3 ) + ( iY * image->DibInfo->bmiHeader.biWidth * 3 ); // Get the pixel of the red channel. byteRGB_R = image-...

How to use Bayes classification to recognize the image? Introduction If you want to compare how many images to match. You can try the Bayes classification to help you measure similar degree. If high similar will get high result value. Opposite, if low similar will get low result value. Equipment Operation System: Microsoft Windows 7 (64 bit) Development Utility: Microsoft Visual Studio 2010 Usage     // The height of the image.     for ( int iY = 0; iY < imageA->DibInfo->bmiHeader.biHeight; iY++ )     {         // The width of the image.         for ( int iX = 0; iX < imageA->DibInfo->bmiHeader.biWidth; iX++ )         {             // This is the first image.             // T...