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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9 views

automatic background removal from images without user interaction

I am trying to develop an image search application. I have crawled through e-commerce websites and obtained some data set of images(~2.5 Million). Now I want to identify the object of interest from ...
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19 views

K means algorithm on an image

Hi I want apply my k means algorithm on an image to a certain number of k clusters.I want to ask is that How is the algorithm applied ? I mean what i have learned from internet is that k means is ...
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10 views

How can I get the sqrt of a matrix in Theano

To clarify, I don't want to find the sqrt element wise which I can do T.sqrt(some_matrix). I'm trying to do whitening transforms as shown here: x˜ = ED−1/2E T x ...
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9 views

How many samples do I need for OCR problems?

I am thinking about collecting samples of hand written digits (0 to 9) from people. I'll try to test different algorithms for optimal character recognition- some form of neural network and random ...
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0answers
18 views

Suggested books/readings on spatial statistics for remote sensing

I'm taking a class on statistics for image analysis and I'm thinking of getting some background reading on the subject. Anybody know a good book/website/readings on the subject? I'm coming from a ...
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0answers
27 views

neural network for 3D pictures

I'm wondering if they are some state-of-art algorithms to apply the convolutional neural network approach to 3D pictures, eg. input is no longer a grid of pixels, but voxels. My objective is to ...
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0answers
13 views

featurizing images of different sizes

I'm training a non linear svm to do classification on images. I'm featurizing the image by creating 3 features for each pixel, its rgb value. My question is: How should i normalize images of different ...
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0answers
10 views

How to construct 3D image from 2D image using Markov Random Field?

I have one 2D CT image and I want to convert it to 3D image using Markov Random Field. There are several papers in the literature in which this technique was used based on 3 2D orthogonal images. ...
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0answers
28 views

What Percent of Neural Network is used while processing a single image

What percent (on average) of entire Neural network (say, AlexNet) is actually used while processing a single image. There should only a very small amount of network that should actually be utilized ...
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22 views

Math behind alpha calculation in matting

As we know for matting, Iz = αzFz + (1 − αz)Bz where, Iz is the observed pixel color (a 3d vector in rgb, say) αz is a scalar value ranging between 0 and 1 Fz,Bz are the (estimated) values of ...
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20 views

Suitable statistical test for comparing pixel intensity between multiple images

I have a series of 3D images derived from CT scans. They have all been transformed so that all homologous features should be in the same relative position. I would like to find out, at each pixel ...
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1answer
37 views

Need guidance in image classification

I'm new to machine learning and need some help. I need image classification to tell if an image is a car or not. Is there any working example or guidance or a book for this particular question? ...
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1answer
36 views

Machine Learning: Stratified Test-train-validation split for images with multiple classes and examples per image

I have a dataset with 300 images, each of which has a variable number of flowers. These flower examples can be any of 3 classes. My goal is to develop a prediction algorithm to classify the flower ...
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1answer
53 views

How to compare image similarity with position, rotation & scale invariant features?

I already put this question in stackoverflow.com. But still didn't get an answer. I want to compare similarity between below images. Acording to my requirements I want to identify all of these images ...
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0answers
68 views

C++ Pattern Matching with FFT cross-correlation (Images) [closed]

Hello everyone I am trying to implement patter matching with FFT (cross-correlation) (I am using this https://www.cs.uaf.edu/2007/spring/cs481/lecture/03_29_fft_image.html as reference) The idea of my ...
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0answers
10 views

Question on Texture similarity measures

I was wondering whether there is a similarity measure between a discrete image or texture image and a continuous image? I have two images one is discrete (it can be a texture also) and the other is ...
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3answers
107 views

Use Edge detection in Image classification

I am having five types of objects (flower, building, face, pair of shoes and a car) in my object recognition and i need to classify these. Identifying through edges in this type of data set seems to ...
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3answers
61 views

Basic ANN questions

So I've just recently gotten into artificial neural networks, and I have a couple of questions that I can't seem to find addressed anywhere. Firstly, this one is more specific to image recognition, ...
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1answer
54 views

How can I do a one vs all classification (binary classifier) with a neural network

I have a set of images that belong to a particular class. Then, I have another set of images that do not contain any image of the above particular class. So, effectively I have two sets of images ...
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11 views

Choosing keypoints for a training set and their prospective number

I am building a software to classify cells from images taken by a microscope. I have a dataset of images of cells to use as training dataset - I have extracted Keypoints from each image using ORB - ...
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16 views

Normalizing features extracted from image for training a model

I am trying to build a software to classify cells from images taken by a microscope: First, i have a dataset of images of cells to use as training dataset - I have normalized the images and extracted ...
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0answers
10 views

How to perform a filtering to get the low, middle and high frequency components of an image?

I am currently looking into some image processing project and just wondering how to obtain the low, middle and high frequency components of an image? For example, as this picture showed (I got it ...
2
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1answer
53 views

How is convolutional network used to locate logos in images?

I have a large set of logos (think of it as kind of logos of automobile companies). Now, I want to train a convolutional network to locate the logo in a given image. Are there any papers that talk ...
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0answers
10 views

Texture Synthesis

I'm looking to synthesise some textures that look like natural ceramic tiles in Matlab. This isn't something I've tried before so I was wondering what the best techniques to use would be or if there's ...
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1answer
53 views

Building an image classifier( binary) using Convolution network network

I have a dataset of images of birds and want to build a CNN classifier that outputs the probability that the fed image(test) is a bird, So that I can accept the image to be a bird beyond a certain ...
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1answer
228 views

ImageNet: what is top-1 and top-5 error rate?

In ImageNet classification papers top-1 and top-5 error rates are important units for measuring the success of some solutions, but what are those error rates? In ImageNet Classification with Deep ...
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1answer
42 views

Classifier for different classes of birds

Is it possible to distinguish between the different classes of birds? I do not aim to have a very specific classifier, but a classifier that is atleast able to distinguish between a parrot and an ...
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1answer
25 views

Clustering matrices with “2d interpretation”

I am not sure if I can formulate this such that it is clear. :) I have around 700 80x80 matrices, where each matrix shows some weather event (a matrix has continuous entries from 0 to 60). Now I ...
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0answers
13 views

Suggestion about: Image based position estimation with cross correlation

I have a image processing project.the process steps are: Take two image from google maps with longitude and latitude Calculate distance between two images from longitude and latitude with haversine ...
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1answer
60 views

Features for Object Detection

I want to build a classifier for detecting Airplanes in images. It is important to note that size and shape of the Airplane does not matter in the image. So for training I might simply use the images ...
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1answer
47 views

How can we learn to classify images that are airplanes ?

The training set is a set of images of the airplanes. Task is : Given an image classify it as an airplane or not. Is it feasible ?
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23 views

How to train a Gaussian Mixture Model using Testing Data

My work is to extract HOG features from Arabic Line images and than do classification using Gaussian mixture model to have a look at the performance. My question is after extracting the features how ...
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1answer
66 views

Understanding neural networks and classes

I want to know if this argumentation is valid or not of my algorithm. I'm trying to implement a CBIR (Content-Based Image Retrieval) where I've used the basics on CBIRs (colour, texture, shape, ...
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0answers
8 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
169 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
66 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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0answers
15 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
38 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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0answers
103 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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31 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
88 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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0answers
29 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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0answers
15 views

kmeans with images CBIR

I have an image database and I want to cluster them to K clusters useing k-means clustering but I didn't know how to start. I know that matlab has a function that do this work but for simple image, ...
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0answers
141 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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0answers
15 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
75 views

Scale-invariant feature transform explanation

How do I explain the scale-invariant feature transform (SIFT) to a layman?
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0answers
105 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. ...
3
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1answer
129 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
27 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
51 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 ...