Consider this as a beginner’s tutorial to Matlab image processing. Read the documentation of the commands used and try and understand what they are doing and why. 1. Read the image Use imread to read the image into a 3D matrix. For convenience, we convert it to double in the range [0..1] using im2double: >> … Read more
Introduction This question is about how to detect the dimensions of an object under an angle in a picture using MATLAB. MATLAB is a powerful tool for image processing and can be used to detect the dimensions of an object in a picture. In this article, we will discuss how to use MATLAB to detect … Read more
Short answer is: you can’t apply Trilinear Inerpolation. Let’s start with 2x2x2 blocks. Each block, is represented by it’s centre pixel ( 1,2,3,4 in ugly yellow on my sketch). Each pixel is located at the corner of a cell. A pixel (the red dot), will be shared by up to 4 blocks that overlap. With … Read more
You only need to carefully read the section B. Proposed methodology. It says something like this: Now our aim is to find the best set of values for these four parameters which can produce the optimal result and to perform this work PSO is used. P number of particles are initialized, each with four parameters … Read more
You can use Azure Cognitive service https://azure.microsoft.com/en-gb/services/cognitive-services/computer-vision/ It has a free tier(more than enough if you have less than 100 users I’d say) to use. 1 solved How to Verify People’s faces Using Camera [closed]
Looking at your comments, an appropriate solution would be: A = imread(‘Car.jpg’); % loads the image with a crop tool, select the region to be cropped B = imcrop(A); close % Displays the cropped region figure, imshow(B); 10 solved how to get a single feature vector from SIFT descriptor [closed]
To use default camera, you need to not pass -i argument. This command line works for me: path\\to\\cascade\\facefinder -m 128 -M 1024 -a 0.0 -q 5.0 -c 1.1 -t 0.1 All but first arguments are optional. solved How to give argument for webcam
I tend to agree with nikie that you should be working from a book if you are at this basic level, but here is an answer anyway. I = imread(‘your_image’); # convert I to grayscale double as appropriate using rgb2gray(), double(), etc. # calculate the gradients and the formula you provided [dIx, dIy] = gradient(I); … Read more
self.tracks seems to be an (n,2) list. The outer loop takes each of these values, turns them two by two into integers x and y, then performs a function/method cv2.circle with an object mask and several other parameters. container[-1] indicates that you want the value of the last index of container. The values of the … Read more
First you shoud have some template denominations. Let us say you have those at same scale. Then you may try template matching using Normalized Cross Correlation (NCC) to find out how each of those denomination is matching with yourcurrent doller image. Even though NCC seems simple, it can do wonders in reality. the one which … Read more
There a number of possible measures of similarity. Ideally, you should derive one yourself that takes account of the reason why you are doing this classification, so that good similarity scores amount to something that performs well when you use it in practice. Here are a few examples. 1) Cosine similarity. Treat the two sets … Read more