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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8 views

Feature Extraction for landscape images

I work on a landscape-image database (forests, beaches, landmarks, cities etc.) and I'm trying to find the similarity between them, I don't have labels or any specific classes, I just want to find ...
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26 views

Help in choosing the machine learning algorithm for gaze estimation [on hold]

I am trying to build a program for gaze estimation for gaze based human computer interface from the x and y coordinates of the pupil centres of the eyes by capturing video through webcam.(x and y ...
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23 views

In intuitive explanation how does GLAM (Gray Level Aura Matrix) works? [closed]

and i look for a simple example about GLAM (Gray Level Aura Matrix).i need your help.
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12 views
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0answers
21 views

How OpenCV GPU HOG works? [closed]

Can someone explain me how OpenCV GPU(CUDA) HOG works? How it is parallalized compared to CPU version? Thank you
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1answer
49 views

Scale-invariant feature transform explanation

How do I explain the scale-invariant feature transform (SIFT) to a layman?
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0answers
32 views

What are the best packages for Image Processing in R? [closed]

I just have started working on an image processing and classification problem. I am familiar with both R and Python. But I am not much experienced in scikit-learn and scikit-image libraries in Python. ...
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1answer
44 views

Simple way for histograms classification

I'm trying to classify a histogram. I have 4 classes and I generate 4 histograms (h1, h2, h3 and h4) for each class. Each histogram contains 10 bins (attributes describing an object) on the x-axis and ...
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0answers
20 views

Appending additional data to learnt autoencoder features

My task is to perform image segmentation / full scene image parsing. I am working on an outdoor dataset which was taken under strict spatial constraints. The images contain fruit on trees and the ...
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0answers
24 views

Clustering binary letters/text - image features and descriptors

I have a task to cluster 1 000 000 images (where each image represents one letter). They are all in binary format. I need to get clusters where each of them would represent 1 letter.. Which image ...
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0answers
24 views

How to remove horizontal bar in Hindi word Matlab

I wish to remove the horizontal bar (Shirorekha) from the word to get characters from the following image, for character recognition. Any ideas as to how can I do that. I tried to use Hough ...
2
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2answers
74 views

Machine Learning for Image Processing book recommendation

I'm searching a good (and compact) book about multivariate pattern analysis in images with machine learning techniques. I took a machine learning course and used for it the Bishop book but I found it ...
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0answers
16 views

Trying to find a way to compare the “true” distribution of text in real life to a collection of computer generated text

I have a program that creates images of words for the purpose of training neural architectures for classifying text in image processing. The images are rendered with a number of different factors ...
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23 views

Are there shape-matching scores that take into account multiple scales simultaneously?

Say you are determining how well your model of an object matches an image. To score this match, we can use e.g., the cross-correlation coefficient (CCC), giving an overall shape match. This works for ...
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2answers
35 views

Sampling Methods for Review of Many Hours of Surveillance Video Footage?

I'm curious is anyone has experience with or can point me to some resources for sampling methodology for reviewing surveillance video footage. For example, say we have 6480 hours of video footage (3 ...
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0answers
17 views

normalization of data points in order to make them adhere to a specified probability distribution (e.g. Normal)

I am doing some preprocessing for a computer vision task. My target is to select a few elements (pixels) containing highest scores according to a metric that I am developing. The values of this metric ...
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0answers
9 views

Need to order a set of colors to build a feature vector

I am working on Computer Vision task of object classification with python and OpenCV. Currently I am extracting some characteristic colors of an image using K-means clustering on all the pixel to ...
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0answers
24 views

How to interpret FPPI

I am struggling when trying to interpret this graph (it represents pedestrians detection accuracy in images for several algorithms) The horizontal axis represents the False Positives detected Per ...
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0answers
25 views

Collection of features that correlated with strength and elongation of nonwoven fibers

I'm working on a regression problem which estimates strength and elongation of a non woven fibers by using some features collected from processed images of the fibers. For this study I've collected 50 ...
2
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2answers
63 views

Classification Algorithms

Rather than due a google search and hope to find "the best" or an exhaustive list of classification algorithms I thought it might be easier to pose my questions here, and then get advice from you ...
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0answers
23 views

Algorithms for invariant image recognition

I am interested in the current state of affairs when it comes to image recognition. I am particularly interested in algorithms that can handle a high degree of invariance. Except for Artificial ...
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0answers
15 views

Image analysis classification where images are of different dimensions, resolutions, etc

I am working on an image classification problem where I have black and white images of all different dimensions and resolutions. The images belong to 1 of 5 groups including an unknown category. These ...
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1answer
46 views

Probability of a model given an image

I would like to write the likelihood function for an image with respect to theoretically predicted values. Assuming uniform Gaussian noise, the pixels are statistically independent, and we can write a ...
2
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1answer
164 views

Eigenfaces in R: How to reconstruct original features from principal components? [duplicate]

I've performed PCA on face images dataset and I'm not sure how can I use the most informative principal components to show the "reduced" image. The original image is 96*96 pixels (96*96 = 9216) and I ...
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0answers
131 views

Naive Bayes Nearest Neighbor (NBNN) implementation problems in MATLAB

I'm currently trying to classify the CIFAR-10 image dataset. I cam across a number of papers praising the the results from a non-parametric approach called Naive Bayes Nearest Neighbors. It uses SIFT ...
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0answers
11 views

Find input image (ID,passport) in imagesDB based on similarity

I would like to decide if image is exists on DB images (pictures of IDs,passport,Stu. card,etc) I thought of KNN alghorithem that will plot the K closest images. Options for distance metric: 1) sum ...
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2answers
265 views

PCA on train and test datasets: should I run one PCA on train+test or two separate on train and on test? [duplicate]

I'm doing an image classification task and the number of features of each example image is pretty huge (3,072: # pixels in each image). I'm thinking of using PCA to reduce the # features of each image ...
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0answers
43 views

Query on “Deep neural networks for object detection”

I was trying to follow the paper "Deep neural networks for object detection" at http://web.missouri.edu/~hantx/ECE8001/Presentation_papers/Deep%20Neural%20Networks%20for%20Object%20Detection.pdf. I ...
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32 views

Gabor filters: Large variance compared to the mean

I am trying to extract Gabor features from an input image. So, I have setup a series of Gabor filters with different parameters (frequency, angle and standard deviation) and I am convolving each of ...
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0answers
43 views

Compare 2D maps

I have a bunch of samples to compare. Each sample is composed of 30,000 cells (dots) for which I computed 2 dimensions (30,000 x 2 matrix). Each dot represent the expression of two parameters for a ...
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0answers
20 views

Combining features extracted from different parts of the same image

It is about car identification in images. I have an 64x64 image divided into 16 equal windows. I compute a HoG features algorithm in each one. And I am using the concatenation vector resulted from ...
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1answer
55 views

find the optimal correspondence matrix

I have two sets of points and I find with different methods, different correspondence matrices which shows which point in one set correspond to other point in the other set. How could I find the ...
1
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1answer
117 views

How to superimpose two MATLAB images rigidly transformed to perform a metrics

I got two MRI images on MATLAB, I need to perform an intensity based registration similarity metrics in order to get a registration. The problem is that, since I got some rigid transformation on one ...
8
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2answers
3k views

What is the difference between ZCA whitening and PCA whitening?

I am confused about ZCA whitening and normal whitening (which is obtained by dividing principal components by the square roots of PCA eigenvalues). As far as I know, $$\mathbf x_\mathrm{ZCAwhite} = ...
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1answer
108 views

Breaking black and white captcha

I am looking for a way to break this kind of captcha: I know that there are always 4 digits, in black and white. The image basically consists of an easily recognizable 4-digit code, mixed with a ...
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38 views

Neural Network & Image recognition - preprocessing

I have a project where I´m supposed to recognize ordinary data written numbers (1-10) from images as well as some geometrical shapes (rectangular, triangle, circle, etc.). However, I´m not sure about ...
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1answer
52 views

Question of unary term (data term) of the graph cut method

I am trying to apply graph cut method for my segmentation task. I found some example codes at Graph_Cut_Demo. Part of the codes are showing below ...
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0answers
31 views

Definition of the deterministic annealing method

iI have ran into a shape matching problem and one term which I read about is deterministic annealing. I learnt that it would help to convert discrete problems, e.g. ...
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0answers
22 views

Which terms are more standard: precision and recall or correctness and completeness?

I am familiar with terms like precision rate and recall rate from the machine learning literature, but recently I was reviewing a thesis which used the terms correctness and completeness. A quick ...
2
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3answers
977 views

Comparing two histograms

I would like to know what are the common techniques to compare two histograms? I have histogram of two images and I want to see are they similar or not meaning that is there any correlation between ...
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0answers
198 views

Machine Learning Process for detecting edges of overlapping objects with OpenCV

I'm quite new to machine learning and a bit unsure about the whole process and the interpretation of the results. The Task: I have images with some objects of somewhat the same color and shape which ...
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3answers
55 views

Computing Image Similarity based on Color Distribution

Image Similarity based on Color Palette Distribution I am trying to compute similarity between two images based on their color palette distribution, let's say I have two sets of key value pairs as ...
2
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0answers
33 views

Dimensionality reduction by predominant component analysis

Does anyone know the concept of dimensionality reduction by predominant component analysis? It was introduced in the following scientific paper: Grundland & Dodgson, 2005, The decolorize ...
3
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1answer
80 views

What do NORB and CIFAR stand for?

The MNIST dataset is a standard benchmark data set of digit images. MNIST stands for 'Mixed National Institute of Standards and Technology'. The NORB dataset is a commonly used dataset of binocular ...
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1answer
38 views

Image clustering and Dirichlet process

I am reading a paper about the Dirichlet process and image segmentation. (http://dl.acm.org/citation.cfm?id=2404806) How is (3) below derived? Do any articles or posts explain image segmentation and ...
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0answers
32 views

Conceptual question on image pattern representation

I have a basic question regarding pattern learning, or pattern representation. Assume I have a complex pattern of this form, could you please provide me with some research directions or concepts that ...
2
votes
1answer
166 views

Image processing with neural network

I am trying to learn how Neural Network works on image recognition.I am confused that how neural network that how i will give input.My defination is find(track) object in squence of images(particular ...
1
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1answer
54 views

Help in convolution operation

I am stuck in understanding how the output of convolution operation is obtained. Can somebody please show the steps? The question is an image is processed by applying 3*3 mean filter . What is the ...
1
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1answer
133 views

What is meant by binary images of handwritten digits?

I can understand what a handwritten digit is, but what is meant by "binary image"? Can someone explain it? I am studying machine learning concepts. In doing so, I've come across many types of inputs. ...
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0answers
19 views

Detecting/recognizing landscape and architecture photographs

I have a large set of photos of various kinds, labeled with some tags but the tags cannot really be trusted (e.g., some portraits will have a tag 'portrait' while many won't, likewise for 'landscape', ...