[PDF] Top 20 Edge Detection in Image corrupted by Gaussian Noise Using Ant Colony Optimization

... ACO-BASED IMAGE EDGE DETECTION APPROACH IN NOISY IMAGE Several ACO-based approaches to the edge detection problem have been proposed ...a image from one node to another, ... See full document

... The cyber security (CS) adaptive system is developed. It is based on advanced algorithms of anomalies signs space partitioning and attacks on clusters. A new approach of solving the topical scientific and applied problem ... See full document

... steganography using MP4 video as the host (cover media) and JPEG image as the embedded ...the image before it embedded into the video. Encrypted image then stored bit-per-bit into an ...The ... See full document

... The procedure for designing the data center server complex of the information network not taking query classes into account consists of a number of steps: 1 the average time for processi[r] ... See full document

... Multi-Key searchable encryption scheme is a technique implemented to perform the keyword search on cipher text. This scheme can be practically applied for client server applications to achieve data confidentiality and ... See full document

... 5770 depicted [18]. Features play an essential role in terms of the summarization where the significant feature that has the ability to accurately describe the instance would definitely improve the accuracy of the ... See full document

... the image is rescaled, the neighbor’s pixel around the central pixel will be changed and produce different LBP ...By using local maxima of the Laplacian of Gaussian (LoG) measure in the scale-space, ... See full document

... vehicle detection is composed of 1156 images extracted from the set of Caltech data 2001 ...This image database contains positive (figure 7) and negative images (figure ... See full document

... analysis using AMOS ...identified using maximum likelihood method and to verify validity, Standardized Factor Loadings ...reviewed using GFI, AGFI, RMR, NFI, CFI, TLI, and RESEA, which are the ... See full document

... profile detection we followed the most commonly considered techniques by the social network community, such as, groups details are not matching with the users’ other profile data, connected to other fake profiles, ... See full document

... negative image because a lot of people visited USA to give birth to children or to avoid military services, but today, medical tourism has developed into a new type of tourism and made popular in various ... See full document

... Our environment is surrounded by sensors, which continuously gather large volumes of real- time heterogeneous data about our living life [1]. Day after day, smartphones, cameras, cars, and smart homes capture countless ... See full document

... components using paradigms of representation and organization of knowledge, based on modern concepts and tools in education and information ...information using ontology models and characteristic ... See full document

... Flow densities at the receiver’s surface elements and subsequently flows will be deter- mined using the model suggested by Grilikhes V.A. [3]. This model assumes that even if beams are reflected from a non-precise ... See full document

... At that, the corporate information system’s definite components might demand the performance increase, for example the following:  = 1,2,3,…,i,…,m, where  - types multitude of the[r] ... See full document

... [20], Gaussian harmonic functions [21], Multiscale histograms [22], Zernike Moments [23], Fuzzy distances [24], Combination of geometric moments [25], Fuzzy local Gaussian mixture models [26], Prewitt ... See full document

... machines using the testing program (Listing 2), one can verify that the VHDL models of the component machines are written in accordance with the requirements of the Questa Sim simulation system, based on these ... See full document

... Each neuron can have multiple inputs and one output. The input paths on a neuron may contain raw data or processed data on previous neurons. While the output of a neutron can be either the end result or an input material ... See full document

... In the proposed method of combined optimization methods, we were used 22 neurons in our ANN structure. These neurons are arranged as 9-12-1; That is, 9 neurons are in the input layers, 12 are in the hidden layers ... See full document

... patterns using Amazon Commerce reviews dataset for performing composite pattern mining for large ...reduced using the HCM-APT framework because of the application of competent approximate pattern trees ... See full document