[PDF] Top 20 An Algorithm for Calculating Objects’ Shape Features in Binary Images

... of objects, and Setion III reviews conventional algorithms for calculating shape features of objects in a binary ...labeling algorithm in Section IV, and our proposed ... See full document

... 2-D binary images containing irregular- shaped objects and corrupted with Poisson, salt and pepper, Gaussian and Speckle type of noises with varying ...the images containing irregular shaped ... See full document

... This algorithm replaces the pointer based rooted trees used to store the same equivalence ...proposed algorithm were very useful in different interesting areas of image processing such as, medical imaging ... See full document

... Each 0'-pixel on the border is a suitable starting point for a left to right raster scan since the right neighbour is known to lie inside that region. Each time a 1-p[r] ... See full document

... Genetic algorithm is a search heuristic procedure based on natural ...Genetic algorithm was developed by John Holland and his associates and is briefly characterized by three main ... See full document

... (Local Binary Pattern) and BC (Binary Coding) to extract either the texture or shape features of hand vein modality and the features are represented using the Graphical ...vein ... See full document

... on binary images, we put forward an accurate and fast algorithm for the computation of geometric moments using Non-symmetry and Anti-packing Model for color images, which takes O (N) time ... See full document

... electric images resulting from external objects and the fish’s exploratory ...Electric images depend on many variables, including the fish’s EOD, the electrical impedance of its body and skin, water ... See full document

... discriminative features in global feature approach leads to reduce in recognition ...discriminative features and less dimensionality of data, these problems are ...produced features with this method ... See full document

... among objects in the scene by using well-matched parts of objects, and not on the actual matching of ...among objects categories. However, in our experiments we use specific objects with SIFT ... See full document

... evaluated shape patterns on a 3x3 mask using CLBPVFM. The age changing in images is identified with count of LTMP, ...facial images of age varying people with shape ...classification ... See full document

... of objects constrained by a variety of factors such as the selection of a feature extraction method, quality of the images, and the classification ...complex shape objects using shape ... See full document

... Software testing plays a crucial role in software quality assurance. It is a primary technique that used to gain consumers’ confidence in the software industry. Software testing is a time and cost consuming task. 50% of ... See full document

... Genetic programming (GP) is a branch of genetic algorithms. GP applies the approach of the genetic algorithm to the space of possible computer programs. GP is a technique to automatically discover computer ... See full document

... object shape and structure from 2D image(s) is the fundamental and most widely stud- ied problem in Computer ...called shape - from - X techniques, where X stands for shading, stereo, texture, motion, ... See full document

... Texture features were incorporated for the identification of the leaf; the proposed approach consists of four phases such as pre-processing, segmentation, feature extraction and ...leaf shape we are using ... See full document

... The Fitness Function has to combine two different criteria – the accuracy of the classification function realized by the Trained Network and the cost of performing classification. The accuracy of the classification ... See full document

... original images which are reduced by the same number of columns with three different algorithms ...the shape of the little girl and the building in the image, indicating ... See full document

... Image enhancement technique falls into two categories namely spatial domain methods and frequency domain methods. The term spatial domain refers to the image plane itself, and approaches in this category are based on ... See full document

... IPE algorithm does not rely on an initial guess for the ...MLE algorithm tends to provide highly imprecise ...MLE algorithm are due to local minima problems associated with the Newton–Raphson ... See full document