Search - convert RGB to binary

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[Other] Shape-Recognition DL : 0: 這是一個可以自動尋找图像中的長方形, 正方形, 圓形, 菱形的程式-1- Read the RGB (colored) image in from user. 2- Convert image from (RGB) colored to gray image. 3- Threshold the image (convert gray image to binary image). 4- Invert the binary image (in order to speed up the time of processing). 5- Find the boundaries concentrate. 6- Determine shapes properties (ratio of dimensions, roundness). 7- Classify shapes according to its properties.
Update : 2025-02-19 Size : 50kb Publisher : tom
[matlab] basic_operation DL : 0: 在GUI中实现实现灰度转化，二值化处理及求反，加噪音和中值滤波-To convert an RGB image to a gray-scale image, binary image, add noise and filtering
Update : 2025-02-19 Size : 110kb Publisher : 郑
[matlab] ques2 DL : 0: Write MATLAB code that will do the following. (a) Read different images from Matlab Library. Eg. Gray, Index, Colour, Binary images etc. (b) Convert the images from one mode to other. Eg. RGB GRAY, GRAY BINARY, RGB, BINARY INDEX etc. (c) Store the images in hard drive using different formats. -Write MATLAB code that will do the following. (a) Read different images from Matlab Library. Eg. Gray, Index, Colour, Binary images etc. (b) Convert the images from one mode to other. Eg. RGB GRAY, GRAY BINARY, RGB, BINARY INDEX etc. (c) Store the images in hard drive using different formats.
Update : 2025-02-19 Size : 1kb Publisher : Rokibul Ahmed
[Software Engineering] seminar DL : 0: It is used to convert the rgb image to gray scale and den proper threholdinf and contrast strechting is applied and converted to binary image
Update : 2025-02-19 Size : 1kb Publisher : pooja
[matlab] Shape-Recognation DL : 0: Objective - The program should recognize objects like circles, rectangles, and squares the input image. Introduction This is a shapes classifier based on the properties of each shape, like roundness, ratio of dimensions, centroid,?etc In this classifier we will recognize only shapes like circles, rectangles, and squares the input image. So, we will concentrate on the steps we will follow to recognize those shapes any input image. We have seven steps: 1 - Read the RGB (colored) image in user. 2 - Convert image (RGB) colored to gray image. 3 - Threshold the image (convert gray image to binary image). 4 - Invert the binary image (in order to speed up the time of processing). 5 - Find the boundaries concentrate. 6 - Determine shapes properties (ratio of dimensions, roundness). 7 - Classify shapes according to its properties. Input - RGB image have the shapes to recognize. Output The RGB image with shapes recognized and labeled. -Objective - The program should recognize objects like circles, rectangles, and squares the input image. Introduction This is a shapes classifier based on the properties of each shape, like roundness, ratio of dimensions, centroid,?etc In this classifier we will recognize only shapes like circles, rectangles, and squares the input image. So, we will concentrate on the steps we will follow to recognize those shapes any input image. We have seven steps: 1 - Read the RGB (colored) image in user. 2 - Convert image (RGB) colored to gray image. 3 - Threshold the image (convert gray image to binary image). 4 - Invert the binary image (in order to speed up the time of processing). 5 - Find the boundaries concentrate. 6 - Determine shapes properties (ratio of dimensions, roundness). 7 - Classify shapes according to its properties. Input - RGB image have the shapes to recognize. Output The RGB image with shapes recognized and labeled.
Update : 2025-02-19 Size : 6kb Publisher : yamina