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Kevin Jansen


Last seen: 1 year ago |  Active since 2022

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Need help to overlay transparent red on gray scale images (or movie) using a binary mask
Hi! I have gray scale data with objects, to simplify in this case the 5's belong to the object e.g.: [1, 1, 1, 1, 1, 1; 1, 1,...

1 year ago | 3 answers | 0

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answers

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Questions about performance of singular classification+regression CNN versus sequential classification+regression CNNs
Hi! I am trying to create a CNN that predicts if there is a ball in an image, and if so it also predicts its coordinates. For ...

1 year ago | 1 answer | 0

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Is it possible to convolve a stack of 'images' with a stack equal in amount of different kernels, without a for loop?
The only solutions I found so far is when one uses the same kernel. However, I have a different kernel for each image. Does some...

1 year ago | 1 answer | 0

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Using rmoutliers without a for loop
Hi! I am having trouble with removing outliers from an array of Gaussian distributed vectors, with an unequal amount of outlier...

1 year ago | 2 answers | 0

2

answers

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Cut region of interest images from 3D stack with known indices and without for loop
Hi! I am having trouble cutting region of interest from a 3D stack. A small example, I have a 3x3x2 array of: array = [1,2,3;4...

1 year ago | 1 answer | 1

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GUI question: a button once clicked allows the user to choose a variable from the base workspace to load.
Hi! I have been trying to make a button that lets the user select a variable to be used in the GUI. From reading online, I onl...

2 years ago | 1 answer | 0

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answer

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CNN overfits when trained too long on low dataset
Hi! As you can seen below I have an overfitting problem. I am facing this problem because I have a very small dataset: 3 classe...

2 years ago | 1 answer | 0

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How can I create a convolutional neural network that first classifies, and if a certain classification is met also performs regression.
Hi! So I am a bit stuck. I have images containing particles, and images containing no particles. I want to create a neural ne...

2 years ago | 1 answer | 0

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How do you load in an image/image stack in MIJ from the matlab workspace?
Hi! I am using MIJ to use imagj/fiji inside matlab. But I can only see the option to load a file from the computer hard disk. I ...

2 years ago | 1 answer | 0

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How do I pass images through my neural network if they are contained in a tiff file as image stack?
I have images containing particles at certain locations. I want to pass the images through my convolutional neural network, givi...

2 years ago | 1 answer | 0

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I cannot manage to load in a training/validation set using the Deep Learning Toolbox. (using tif file/multidimensional array)
Hi! I have been trying all day to load in a set of images to be used in a convolutional neural network using the Deep Learning ...

2 years ago | 1 answer | 0

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Answered
Need help subtracting certain vector indices from every matrix element in a page (without using for loop)
I just found it out! a = randn(15,15,500) b = randn(1,500) c = reshape(a,[225 500]) d = c - b e = reshape(d,[15 15 500])

3 years ago | 0

Question


Need help subtracting certain vector indices from every matrix element in a page (without using for loop)
Hey! I have a problem that seems very easy, but for some reason I cannot manage to do it. (I don't want to use for loops thought...

3 years ago | 1 answer | 0

1

answer

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I get the wrong signal to noise ratio using snr() from the Signal Processing toolbox.
Hi! I need some help using snr(). When I use snr() on the column vector I want to calculate the SNR of, it returns -10.5526. ...

3 years ago | 0 answers | 0

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Need help finding the std of half a normal distribution
Hi! I have trouble getting the std of the left side of my plot: This is the result of plotting my row vector of values. Firs...

3 years ago | 1 answer | 0

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How can I use conv() in a function handle and keep original vector size, but not use 'same'/'valid'?
Hi! I am trying to use conv() inside a function handle, while keeping the original vector size of one of the vectors: So in the...

3 years ago | 1 answer | 0

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