The SN ratio is given by: Orthogonal Arrays of Strength Three The method used to construct and enumerate orthogonal arrays of strength three is called the orbit algorithm [9] [36] [37]. This is called action homomorphism [36].

Number of scales per octave: Compare each point to its 8 neighbors at the same level, 9 neighbors in the level above, and 9 neighbors in the level below i. In following figure, represent 3 scale space, In such situation every descriptor is surrounded from nearest descriptor 26 descriptors.

These descriptors are generated from the SIFT method. The descriptors of an image reflect the different feature of image like shape, texture, color. Determine the location and scale of keypoints to sub-pixel and sub-scale accuracy by fitting a 3D quadratic polynomial keypoint location Offset sub-pixel, sub-scale estimated location Substantial improvement to matching and stability Reject keypoints having low contrast.

Create histogram of gradient directions, within a region around the keypoint, at selected scale Figure 3. Histogram form of Orientation 36 bins i. Significantly improves stability of matching. Take a 16 x16 window around detected interest point.

Divide into a 4x4 grid of cells. Compute histogram in each cell. Alignment of Keypoint Descriptor Each histogram entry is weighted by i gradient magnitude and ii a Gaussian function with??

Process of finding Keypoint Descriptor Partial Voting: Each entry is added to all bins, multiplied by a weight of 1-d, where d is the distance from the bin it belongs.

Histogram level of each keypoint in image ROI Descriptor depends on two main parameters: Normalization to unit length is sufficient features Non-linear illumination changes. Finally, the feature vector is modi'ed to reduce the effects of illumination change.

First, the vector is normalized to unit length. A change in image contrast in which each pixel value is multiplied by a constant will multiply gradients by the same constant, so this contrast change will be canceled by vector normalization.

A brightness change in which a constant is added to each image pixel will not affect the gradient values, as they are computed from pixel differences.

Therefore, the descriptor is invariant to af'ne changes in illumination. However, non-linear illumination changes can also occur due to camera saturation or due to illumination changes that affect 3D surfaces with differing orientations by different amounts.

In the proposed method of my dissertation work use the concept of Optimization for finding optimum feature descriptor, In this method we explore the feature of image retrieval using optimizer, We use Continuous Orthogonal Ant Colony Optimizer COACO techniques with existing SVM method.

This optimizer explores the more performance parameter of image retrieval from large image dataset. The number of SIFT feature descriptors combinations to be tested in the orthogonal design is much fewer than the full-scale experiment.

Generally, The orthogonal design method is a partial experimental method to all the levels of factors, but it is a full-scale experiment to any two factors. The levels of the orthogonal array are made to be mostly 'orthogonal' with each other.

Take three factors to draw a cube, as shown in following Fig. The three factors are denoted as A, B and C with subscripts indexing the levels. There are totally 27 combinations of three factors, which are illustrated as spots in following Fig.Determining Parameter Design Orthogonal Array Information Technology Essay, La Figlia Che Piange Essay, Macau The Portugese Footsteps Of China English Literature Essay Understanding Christian Fundamentalism Essay, Heroes And Revenge In Hamlet And The Spanish Tragedy Essay, Various Impacts Of Tourism In Singapore Tourism Essay.

Determining Parameter Design Orthogonal Array Information Technology Essay. Print Reference this. Create orthogonal arrays for the parameter design indicating the number of and conditions for each experiment. The selection of orthogonal arrays is based on the number of parameters and the levels of variation for each parameter, and will be.

How to cite this paper: Romero, J. and Murray, S.H.

() Enumeration of Strength Three Orthogonal Arrays and Their Implementation in Parameter Design. Journal of Applied Mathematics and Physics, 3, . Chapter Taguchi Designs. Introduction. Taguchi experimental designs, often called orthogonal arrays (OA’s), consist of a set of fractional factorial designs which ignore interaction and concentrate on main effect estimation.

This procedure generates the most design is perhaps the most popular. Optimization of Heat Treatment Processes Using Taguchi’s Parameter Design Approach 1V.K. Murugan, Sri Ranganathar Institute of Engineering and Technology, Coimbatore, India. 2Principal, Kalaivani College of Technology, Coimbatore India a special design of orthogonal array to study the entire process parameter space with a small.

Determining Parameter Design Orthogonal Array Information Technology Essay. Print Reference this. Published: 23rd March, Create orthogonal arrays for the parameter design indicating the number of and conditions for each experiment.

The selection of orthogonal arrays is based on the number of parameters and the levels of variation for each.

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