Questions tagged [image-processing]

A form of signal processing where the input is an image. Usually treating the digital image as a two-dimensional signal (or multidimensional). This processing may include image restoration and enhancement (in particular, pattern recognition and projection).

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4 views

How Milestone object detectors differ from each other?

I'm tracing the object detector types starting from traditional detectors like Viola Jones, then machine learning detectors and ending with deep learning by Yolov4. Therefore I've created a table that ...
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Is there an eigenfaces equivalent for PCA analysis of time series, eigen-time series?

I am trying to better understand PCA as applied to time series by drawing parallels with this explanation of PCA as applied to images of faces. In particular, I would like to visualize the resulting "...
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How can I add in the functionality “Not found” in k-nearest neighbor?

I'm building onto a image classification library called jFaces. It's made in 100% Java. It don't use Deep neural networks. Instead, it uses PCA and LDA together. Yes, it works. https://github.com/...
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Different cut aria effect in aligning and comparing two STL file with cloudcompare

I have one project for dental thesis which some aspect of it is not clear for me. In this project we need to compare one specific area of dental mold scan by cloudcompare software, so the area is ...
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Finding Patterns on Surface of Material

I recently got a set of images on which I need to find certain patterns (such as scratches or roughness). Now I have two types of surfaces. I would like to compare if these two surfaces exhibit the ...
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How to change the mean of an image without changing the range

I'm working with a dataset of grayscale images (values ranging from [0,1]) and would like the average pixel intensity of each image to be the same (let's say 0.5). However, a simple multiplication ...
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11 views

How to calculate ROC curve at a threshold value

I have to calculate the ROC of 12 different videos. I have taken a code from this LINK. Following is there code of calculating TPR and FPR: ...
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21 views

Classification Loss result is either too small or too big as epoch get higher

I am doing some experiments for classifying color using BCElogitLoss on Pytorch. The label that I have are (not red-red, not blue-blue , not green -green) and the inputs are images. So when I start ...
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Increasing Contrast of Topographic Image in R [migrated]

Brand new to R, so a little foreign to me, but I Created a topographic image using Landsat, and .hgt data. I got an image out but tried to increase contrast using the scales tool. It is still giving ...
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How to draw Receiver Operating Characteristics (ROC) of 34 video sequences using MatLab

I am working on video processing using MatLab R2017a. I have datasets containing 34 video sequences. I have to calculate the AUC of this datasets. As I know AUC is dependent upon the ROC. And ROC is a ...
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Best way to show agreement between two 2d arrays

This question might seem very simple but I just wanted to make sure that I am doing it right! :) I have two 2d numpy arrays, representing a climate variable on global scale calculated using two ...
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Can a neural network whose output is uniformly equal to zero learn its way out of it?

I am performing a regression task on sparse images. The images are a result of a physical process with meaningful parameters (actually, they are a superposition of cone-like shapes), and I am trying ...
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68 views

Real noise modeling/ noise map generation (image processing, deep learning)

I am working on a project with really noisy images. I have trained a detector that can detect the characters but fails in some cases (noise is high). So far I have gone through many denoising, ...
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How to standardize/normalize 16 bit images with a small standard deviation

I'm trying to detect silhouettes on thermal 60x80 and depth 480x640 images by using the SSD model. I have good results on thermal images, but realy poor results on depth images. I started to ...
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Keras validation accuracy is high, but per class F-score is poor

I am trying to identify species of animal in images. I am using keras with VGG16, imagenet weights and adding 3 layers of 512 nodes on top. In training, Keras/TensorFlow reports fairly high validation ...
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Optimizers settings in keras CNN when using augmentation

I'm training a CNN for multi-class image segmentation in keras. A standard 3D-Unet for brain MRI segmentation with a softmax output layer, but I think it's not relevant, mostly to learn the technique ...
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How is the distribution for a 3-channel colored image data set learned?

I understand how the distribution for a grayscale image data set is learned, but I'm not able to wrap my head around for the 3-channel or colored scenario. Here is my comprehension for the ...
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25 views

Text retrieval from an image is not appropriate

I have an image where it contains names of several resources. When I am trying to read the text from the image using R its not throwing how it is present in image. For instance J is reported as I Or ...
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Can Graph Neural Networks be better than Convolutional Neural Networks for computer vision tasks? [closed]

Recently, a strong trend in deep learning is the adoption of Graph Neural Networks for computer vision tasks (https://github.com/thunlp/GNNPapers#computer-vision). But the main question is could this ...
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How do I change my neural network from a classification task to a regression task?

I currently have a neural network that is doing a reasonable job in classifying an image into a number of classes although not that great. These classes however are essentially buckets on a floating ...
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25 views

How to properly upscale images using deconvolutions

I have a dataset that has 32x32x3 images. However, I want to use models that were developed for 224x224x3 images, e.g. resnet. A common theme I see is that people resize 32x32x3 to 224x224x3, but this ...
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How to go about designing a program that identifies corn fields on a map?

I am working on a project that identifies corn fields on a map (satellite imagery), given the latitude/longitude coordinates of known corn fields. My plan is to use a deep learning convolutional ...
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Image Compression Approaches for CNN

I have a set of images, which are quite large in size and as such do not easily fit into memory for feeding a CNN. (1000x1000). I'd like to compress and encode these images, such that little ...
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Are there any Non Neural Network models to do face detection in constrained domains?

In some constrained domains(eg: car driver), the camera is stationary which means the background will not change much. And we can sure when the car is running, there must be a driver. In this kind of ...
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How to apply PCA on 3 dimensional image data in python

I have dataset containing colored images of cancerous and non-cancerous tissue cells. The image dimensions are 50x50x3, and I have a total of 280,000 images. I want to apply PCA to it in order to ...
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44 views

Goodness of fit measure for GMM similar to the likelihood function

Suppose we have two trained models for a specific color in an image: 1-Multivariate Gaussian Model (MVG), 2-Gaussian Mixture (GMM). I need to identify the most probable region which then be used for ...
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Is kinship detection limited to classification / unsupervised learning?

There are numerous studies and ML approaches published around kinship detection. Generally, the system is presented a pair of inputs (e.g, 2 photos) and a score is produced, enumerating the degree of ...
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interpretation of the estimated parameters of a gaussian mixture model

I need to find/fit a model for the color of an object. Suppose its color is generally yellow and we have 10000-by-3 data which are pixel values for R, G, B channels. Firstly I choose a Multivariate ...
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26 views

How to find binary image's object size like objects height,width,midpoint using python?

if you see the attached two pictures,then in "the mask" section you can see 2 binary images where white background are 0 and black marked area of object is full of values with 1 now given images like ...
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In image segmentation, is Dice score usually reported as an average between classes?

Dice Similarity or Dice Score is a common evaluation metric for segmentation projects with high class-imbalance. It measures the overlap agreement between discrete classes from two images, ranging ...
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How should I find similarities between individuals with multiple measures per individual?

I want to identify individual monkeys from a camera trap survey. From my accumulated camera trap videos, I see some variation in tail tuft size that I think could help me identify monkeys. I took ...
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Adding noise to existing noise

I have been working on a little project for myself. It involves adding the following noise types to images: Gaussian blur, Salt and Pepper, and Speckle. I know that there exists some fancy formula for ...
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Should training set images change during epochs?

I'm training a convolutional neural networks for image segmentation. In training data preprocessing i'm applying some data augmentation to change luminosity of images. I'm using tensorflow ...
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1answer
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Conv network gets worse when using more data

I'm trying to train a car image classifier based on a smaller version of AlexNet. I'm trying to learn about conv nets and training models in general, and I've found something that, to me, seems ...
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1answer
132 views

is this way of applying data augmentation correct [closed]

I'm training a CNN and want to apply some data augmentation to my input images. I combined some code from tensorflow tutorials and have the following workflow: I have a dataset containing all ...
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45 views

What is the difference between Chan & Vese and total variation segmentation methods?

What is the difference between Chan & Vese and total variation segmentation methods, which is better between the two and how to explain that?
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How to design high quality encoder-decoder pairs for images?

In many of todays deep models for image processing you can find some sort of encoder-decoder structure, in the simplest form it is an Autoencoder, whenever we want to introduce some kind of bottleneck....
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115 views

Multi label classification baseline model

I have a multi label image classification task with a large number of labels (7000) . I am using ImageDataGenerator to flow the dataset from a file. Before I start ...
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1answer
39 views

How to split dataset without specific domain knowlege of the dataset?

I have a medical image dataset that contains about 150 patients and it is possible that there are multiple images from the same patient. So, to use a machine learning (or deep learning in my case) ...
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How to extract crucial features to create an image

Imagine, you have a dataset containing pictures of (example only, just to explain the task) cats and dogs. The data set is labeled, so we can train using supervised learning algorithms. My goal is ...
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Which image format is better for machine learning .png .jpg or other?

I'm trying to train a neural network with images. Since I'm extracting images from a video feed I can convert them either to .png or .jpg. Which format is preferred for machine learning and deep ...
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Analysing arrays of image data with Machine Learning Models

I am trying to do Machine Learning on arrays or vectors describing images. The target variable is a category I am trying to predict. I have multiple features that each contain arrays describing the ...
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How do you train a model on a dataset that's unlabeled but we know the percentage of every class?

Say we have a data set that's pictures of apples and oranges, but we don't know which is which. However the data is organized in such a way, that for some groups of images we know how many of them are ...
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Is it possible to determine a certain characteristic point in a picture based on existing pictures?

The problem I try to solve is actually something I want to apply to an existing use case. To give some background information on that, there's this site botb.com that works kinda like a lottery, ...
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Is GAN effective enough to replace data augmentation and manual annotation?

We all know that GAN can be used to augment and expand our dataset Can a GAN be used for data augmentation?. But my question is, is it effective and fast enough? For example I have done experiment ...
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22 views

Cropping input images Neural Networks

I'm creating a simple neural network for image classification,I had some doubts about the input images. Let's suppose i'm trying to classify (for example) a bear and i have an input image like this: ...
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53 views

Finding function for histogram to investigate on minimum, maximum and inflection points

To investigate on the statistics of an image, I want to find out how to get all 1.) minima, 2.) maxima and 3.) inflection points for the histogram of a specific image. I know how to extract the ...
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why encoder/decoder is better than stack of conv layers in segmentation task? [closed]

I have read through several articles that said stacking of conv layers consume lots of computer resources(I guess only run time not memory right?) https://www.jeremyjordan.me/semantic-segmentation/. ...
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57 views

Is there a difference between training with multiple objects in a single image and multiple objects in a different images?

I'm trying to generate data for my object detection network (which will be used for TensorFlow: ResNet). What I'm currently curious about is this: if I have the same total amount of data (each data ...
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Average precision biased in object detection when validation set has easy examples

I am computing average precision (AP) for object detection as in Pascal VOC dataset. Sometimes my results were too good to be true and I suspected that I might overlook something. Then I realised that ...

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