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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3 views

what is in intuitive explanation of local derivative pattern (LDP)?

Zhang et al. proposed the LDPs for face recognition . They considered the LBP as the nondirectional first-order local pattern operator and extended it to higher orders ( th-order) called the LDP. ...
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2answers
48 views

Simple way for histograms Clustering

I'm trying to cluster set of histograms. The histograms represent the frequencies of the distribution for a numbers from 1 to 5. The following figure shows two samples of my data. I have 10,000 ...
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1answer
36 views

What is the difference between simple histogram and histogram LBP?

What is the difference between a simple histogram and a histogram LBP (local binary pattern)? Can someone provide the intuition behind histogram LBP?
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5 views

what is the drawback of DLBP(Dominant local binary pattern)?

Although the DLBP features encapsulate more textural information than the conventional LBP features, they lack the consideration of distant pixel interactions. The reason is that the binary patterns ...
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1answer
31 views

what is in intuitive explanation of the histogram equalization invariant feature?

Ojala et al, proposed the uniformed local binary patterns(LBP) approach to extracting rotation and histogram equalization invariant features. what is histogram equalization invariant feature? i ...
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30 views

How to plot mean plus/minus standard deviation for histograms?

I have a set of grayscale images, where the pixels may have values in the range $[0, 255]$. From each image, I calculate a histogram, which shows how many pixels have the value $0$, $1$, $2$, and so ...
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24 views

How can I quantify the symmetry / asymmetry of this kind of data?

Let's say I have 30 of those pictures http://imgur.com/CaQaPtF I have the numbers (amounts of dots on both sides, e.g. 17 and 19) at hand, alternatively I could also do something with the distances ...
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1answer
52 views

How to use images as input in machine learning?

There are different machine learning algorithms (neural networks, decision trees, support vector machines and so on). Usually we assume that there is a mapping from vectors to nominal or numeric ...
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23 views

What is the difference between LBP and DLBP?

if the Local binary pattern(LBP) is efficient approach why came Dominant local binary pattern(DLBP).i need your help
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43 views

Obtaining a HOG feature vector for implementation in SVM in Python

I am new to sci-kit learn. I have viewed the online tutorials but they all seem to leverage existing data (e.g., digits, iris, etc). I need the information on how to process images so that they can ...
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11 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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1answer
59 views

Scale-invariant feature transform explanation

How do I explain the scale-invariant feature transform (SIFT) to a layman?
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0answers
51 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
72 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
24 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
31 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 ...
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2answers
87 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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24 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
37 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
12 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
32 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
26 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 ...
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2answers
67 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
17 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 ...
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1answer
217 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
146 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
322 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
46 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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0answers
34 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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44 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
57 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
136 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 ...
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2answers
4k 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
129 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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0answers
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
53 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 ...
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3answers
1k 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
209 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
64 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
34 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
85 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
39 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 ...