# Linear and circular convolution relationship in matlab

The following Matlab project contains the source code and Matlab examples used for linear and circular convolution relationship. for the two sequences x1(n) and x2(n) of length N1 and N2 respectively Circular convolution become Linear convolution, when the zero padding is equal to[(N1+N2-1)- max(n1,n2)]

# Convolution using symbolic mathematics in matlab

The following Matlab project contains the source code and Matlab examples used for convolution using symbolic mathematics . you should enter 2 math Fnc (X & H), this code will calculate and show the convolution result. the convolution result is extracted through the main convolution definition. the result will shown in a graphical animation mode.

# Applies 1-d convolution in matlab

The following Matlab project contains the source code and Matlab examples used for applies 1-d convolution . A simple and fast working method to compute convolution.

# Image Enhancement Matlab Code

The following matlab project contains the source code and matlab examples used for image enhancement.

# Canny edge detection enhancement by scale multiplication in matlab

The following Matlab project contains the source code and Matlab examples used for canny edge detection enhancement by scale multiplication. “Canny edge detection enhancement by scale multiplication,” %IEEE.

# Histograms of oriented gradients in matlab

The following Matlab project contains the source code and Matlab examples used for histograms of oriented gradients. A mex function for calculating histograms of (oriented) gradients as described in the paper "Histograms of Oriented Gradients for Human Detection"[1]: http://lear.

# Matrix convolution with sub pixel resolution in matlab

The following Matlab project contains the source code and Matlab examples used for matrix convolution with sub pixel resolution. Tristan Ursell Sub-pixel Resolved 2D Convolution March 2012   matout=matoverlay(mat1,mat2,x,y);   This function takes an input matrix mat1 and creates an image of the matrix mat2 at the position (x,y) in mat1.

# 2d weighted histogram in matlab

The following Matlab project contains the source code and Matlab examples used for 2d weighted histogram. This function calculates a 2D, weighted histogram from: (1) an Nx2 matrix of 2D data points (2) an Nx1 vector of weights (3) M_1x1 and M_2x1 grid vectors There is an option to plot the histogram in color using the "bar3c" function (included).

# Local binary patterns in matlab

The following Matlab project contains the source code and Matlab examples used for local binary patterns. The LBP tests the relation between pixel and it's neighbors, encoding this relation into a binary word.

# Sift( scale invariant feature transform) in matlab

The following Matlab project contains the source code and Matlab examples used for sift( scale invariant feature transform). The first code 'vijay_ti_1' will extract the SIFT key-points and descriptor vector of each key-point in an image.

# Siftgpu sift enabled on gpu in matlab

The following Matlab project contains the source code and Matlab examples used for siftgpu sift enabled on gpu. This is an implementation of David Lowe's original Scale Invariant Feature Transformation algorithm implemented on a graphics card by Chanchang Wu and mex'd by Adam Chapman.

# Descriptor for shapes and letters (feature extraction) in matlab

The following Matlab project contains the source code and Matlab examples used for descriptor for shapes and letters (feature extraction). The descriptor gets an image and computes the x-coordinate of the center of mass.

# Opposite color local binary patterns (oc lbp) in matlab

The following Matlab project contains the source code and Matlab examples used for opposite color local binary patterns (oc lbp). The function implements OC-LBP (Opposite COlor Local Binary Pattern analysis).

# Image edge detection using variation adaptive ant colony optimization in matlab

The following Matlab project contains the source code and Matlab examples used for image edge detection using variation adaptive ant colony optimization. This is a demo program of Image edge % detection using variation-adaptive ant colony optimization, Transactions on CCI V, LNCS 6910, 2011, pp. 27-40.

# Image edge detection using ant colony optimization in matlab

The following Matlab project contains the source code and Matlab examples used for image edge detection using ant colony optimization. A demo program of image edge detection using ant colony optimization.

# Edge neighbourhood descriptor for 2d image in matlab

The following Matlab project contains the source code and Matlab examples used for edge neighbourhood descriptor for 2d image. This codes implemet a new descriptor named edge neighbourhhod descriptor, which assigns different values to different parts of images, namely, image background, edges, edge neighbourhoods and the remaining area.

# Edge detection and segmentation in matlab

The following Matlab project contains the source code and Matlab examples used for edge detection and segmentation. Edge Detection Prewitt Roberts Log Canny Sobel Straight Line Hough Transform quadree region growing threshold watershed

# Launches a gui environment for the detection of circles in an image. in matlab

The following Matlab project contains the source code and Matlab examples used for launches a gui environment for the detection of circles in an image. . In R2012a, we introduce CIRCULAR HOUGH TRANSFORMS for detecting circles in images.

# Generalized hough transform with variable image to template size ratio in matlab

The following Matlab project contains the source code and Matlab examples used for generalized hough transform with variable image to template size ratio. Generalized Hough Transform with variable size ratio: Use Generalised hough transform to find template Itm in image Is.

# Detect circles with various radii in grayscale image via hough transform in matlab

The following Matlab project contains the source code and Matlab examples used for detect circles with various radii in grayscale image via hough transform. Circular Hough transform based on the gradient field of an image.

# Hough accumulator bin pixels in matlab

The following Matlab project contains the source code and Matlab examples used for hough accumulator bin pixels. The function hough_bin_pixels finds all the white pixels in a binary image that contributed to a particular accumulator bin in the Hough transform.

# Detects multiple disks (coins) in an image using hough transform in matlab

The following Matlab project contains the source code and Matlab examples used for detects multiple disks (coins) in an image using hough transform. HOUGHCIRCLES detects multiple disks (coins) in an image using Hough Transform.

# Find and mark lines using hough transform in matlab

The following Matlab project contains the source code and Matlab examples used for find and mark lines using hough transform. To get the best performance, you may have to adjust the parameters in the algorithm.

# Circle detection via standard hough transform in matlab

The following Matlab project contains the source code and Matlab examples used for circle detection via standard hough transform. Function uses Standard Hough Transform to detect circles in a binary image.

# Detect lines in grayscale image using hough transform in matlab

The following Matlab project contains the source code and Matlab examples used for detect lines in grayscale image using hough transform. Hough transform for line detection based on image's gradient field.

# Line detection via standard hough transform in matlab

The following Matlab project contains the source code and Matlab examples used for line detection via standard hough transform. Function uses Standard Hough Transform to detect Lines in a binary image.

# Ellipse detection using 1d hough transform in matlab

The following Matlab project contains the source code and Matlab examples used for ellipse detection using 1d hough transform. Overview: -------- Fits an ellipse by examining all possible major axes (all pairs of points) and getting the minor axis using Hough transform.