// // Histogram Sample // This sample shows how to use the Sample Grabber filter for video image processing. // Conceptual background: // A histogram is just a frequency count of every Pixel value in the image. // There are various well-known mathematical operations that you can perform on an image // using histograms, to enhance the image, etc. // Histogram stretch (aka automatic gain control): // Stretches the image histogram to fill the entire range of values. This is a "point operation," // meaning each Pixel is scaled to a new value, without examining the neighboring Pixels. The // histogram stretch does not actually require you to calculate the full histogram. The scaling factor // is calculated from the minimum and maximum values in the image.
標簽： Sample Histogram Grabber sample
上傳時間： 2013-12-15
上傳用戶：ryb
極大值抑制與雙閾值門限得到圖像邊緣： * nonmaxsuppts.m Code for performing non-maxima suppression and thresholding of points generated by a feature/corner detector. It optionally returns sub-Pixel feature locations.
標簽： nonmaxsuppts thresholding suppression non-maxima
上傳時間： 2016-07-08
上傳用戶：guanliya
Generating Fractals with SSE/SSE2 You probably have heard about fractals before. They are beautiful pictures such as the one shown above. Any fractal can be described using iterative formulas. So you can generate a fractal by evaluating these formulas and finding the color of each Pixel. That is a large computational task, and drawing a fractal needs a fast CPU and a carefully optimized program.
標簽： Generating SSE beautiful Fractals
上傳時間： 2016-11-03
上傳用戶：小鵬
The VGA example generates a 320x240 diffusion-limited-aggregation (DLA) on Altera DE2 board. A DLA is a clump formed by sticky particles adhering to an existing structure. In this design, we start with one Pixel at the center of the screen and allow a random walker to bounce around the screen until it hits the Pixel at the center. It then sticks and a new walker is started randomly at one of the 4 corners of the screen. The random number generators for x and y steps are XOR feedback shift registers (see also Hamblen, Appendix A). The VGA driver, PLL, and reset controller from the DE2 CDROM are necessary to compile this example. Note that you must push KEY0 to start the state machine.
標簽： diffusion-limited-aggregation DLA generates 320x240
上傳時間： 2014-01-16
上傳用戶：225588
Purpose: --- -- This component is used for capturing staff from AVI to BMP. Installation: ------------- Extract the compiled units into your Lib directory or into another directory that is listed in the Library path in your Delphi options. Choose file AVIcap.dcu for register. description: ------------ AVIcap V2.0 used for capturing frame from AVI without drawing on the screen, that is essentially fast. It can be reached by using of avifil32.dll from MS Video For Windows. New property: number of bits per Pixel of bitmap.Now you can save BMP using next formats: pf1bit, pf4bit, pf8bit, pf8bitGray, pf15bit, pf16bit, pf24bit, pf32bit, pfDevice. See example to detail.
標簽： Installation component capturing Purpose
上傳時間： 2016-12-13
上傳用戶：TF2015
OTSU Gray-level image segmentation using Otsu s method. Iseg = OTSU(I,n) computes a segmented image (Iseg) containing n classes by means of Otsu s n-thresholding method (Otsu N, A Threshold Selection Method from Gray-Level Histograms, IEEE Trans. Syst. Man Cybern. 9:62-66 1979). Thresholds are computed to maximize a separability criterion of the resultant classes in gray levels. OTSU(I) is equivalent to OTSU(I,2). By default, n=2 and the corresponding Iseg is therefore a binary image. The Pixel values for Iseg are [0 1] if n=2, [0 0.5 1] if n=3, [0 0.333 0.666 1] if n=4, ... [Iseg,sep] = OTSU(I,n) returns the value (sep) of the separability criterion within the range [0 1]. Zero is obtained only with images having less than n gray level, whereas one (optimal value) is obtained only with n-valued images.
標簽： OTSU segmentation Gray-level segmented
上傳時間： 2017-04-24
上傳用戶：yuzsu
在柵格數據地圖中，查找最近的圖元（Pixel）
上傳時間： 2014-03-09
上傳用戶：cuiyashuo
A java application - processing which can be downloaded free from processing.org Here it uses a free library - OpenCV - made by intel. .. to convert all the Pixels in an image - in fact in a movie - a capture from the webcam. If the color of a Pixel is "higher" comparing to a threshold it turns black - otherwise it becomes white.
標簽： processing application downloaded which
上傳時間： 2014-01-15
上傳用戶：D&L37
Reconstruction- and example-based super-resolution (SR) methods are promising for restoring a high-resolution (HR) image from low-resolution (LR) image(s). Under large magnification, reconstruction-based methods usually fail to hallucinate visual details while example-based methods sometimes introduce unexpected details. Given a generic LR image, to reconstruct a photo-realistic SR image and to suppress artifacts in the reconstructed SR image, we introduce a multi-scale dictionary to a novel SR method that simultaneously integrates local and non-local priors. The local prior suppresses artifacts by using steering kernel regression to predict the target Pixel from a small local area. The non-local prior enriches visual details by taking a weighted average of a large neighborhood as an estimate of the target Pixel. Essentially, these two priors are complementary to each other. Experimental results demonstrate that the proposed method can produce high quality SR recovery both quantitatively and perceptually.
標簽： Super-resolution Multi-scale Dictionary Single Image for
上傳時間： 2019-03-28
上傳用戶：fullout
基于FPGA設計的字符VGA LCD顯示實驗Verilog邏輯源碼Quartus工程文件+文檔說明,通過字符轉換工具將字符轉換為 8 進制 mif 文件存放到單端口的 ROM IP 核中，再從ROM 中把轉換后的數據讀取出來顯示到 VGA 上，FPGA型號Cyclone4E系列中的EP4CE6F17C8，Quartus版本17.1。module top( input clk, input rst_n, //vga output output vga_out_hs, //vga horizontal synchronization output vga_out_vs, //vga vertical synchronization output[4:0] vga_out_r, //vga red output[5:0] vga_out_g, //vga green output[4:0] vga_out_b //vga blue );wire video_clk;wire video_hs;wire video_vs;wire video_de;wire[7:0] video_r;wire[7:0] video_g;wire[7:0] video_b;wire osd_hs;wire osd_vs;wire osd_de;wire[7:0] osd_r;wire[7:0] osd_g;wire[7:0] osd_b;assign vga_out_hs = osd_hs;assign vga_out_vs = osd_vs;assign vga_out_r = osd_r[7:3]; //discard low bit dataassign vga_out_g = osd_g[7:2]; //discard low bit dataassign vga_out_b = osd_b[7:3]; //discard low bit data//generate video Pixel clockvideo_pll video_pll_m0( .inclk0 (clk ), .c0 (video_clk ));color_bar color_bar_m0( .clk (video_clk ), .rst (~rst_n ), .hs (video_hs ), .vs (video_vs ), .de (video_de ), .rgb_r (video_r ), .rgb_g (video_g ), .rgb_b (video_b ));osd_display osd_display_m0( .rst_n (rst_n ), .pclk (video_clk ), .i_hs (video_hs ), .i_vs (video_vs ), .i_de (video_de ), .i_data ({video_r,video_g,video_b} ), .o_hs (osd_hs ), .o_vs (osd_vs ), .o_de (osd_de ), .o_data ({osd_r,osd_g,osd_b} ));endmodule
上傳時間： 2021-12-18
上傳用戶：
