It is very important to make an objective evaluation of colorectal cancer histological images. Current approaches are generally based on the use different combinations textual features and classifiers assess classification performance, or transfer learning classify organizational types. However, since images contain multiple tissue types characteristics, still challenging. In this study, we proposed best methodology selected optimizer modified parameters CNN methods. Then, used deep...

We describe a new image coding approach in which 4-ary arithmetic coder is used to represent significant coefficient values and the lengths of zero runs between coefficients. This algorithm works by raster scanning within subbands, therefore involves much lower addressing complexity than other algorithms such as zerotree that require creation maintenance lists dependencies across different decomposition levels. Despite its simplicity, fact these are not explicitly utilized, presented here...

A new watermarking scheme which incorporates wavelet and spatial transformation has been developed for digital images. This algorithm utilizes the multiresolutional structure to construct image frequency components chaotic as two dimensional integer vector generators transform select location during watermark embedding. To efficiently embed within without loss of quality provide robustness detection under attacks, a modular based threshold adjustment coefficients in this research. Unlike...

Due to the growing number of medical images being produced by diverse radiological imaging techniques, radiography examinations with computer-aided diagnoses could greatly assist clinical applications. However, an facility just a one-pixel inaccuracy will lead inaccurate prediction images. Misclassification may wrong decision. This scenario is similar adversarial attacks on deep learning models. Therefore, and multi-pixel level Deep Neural Network (DNN) model trained various image datasets...

Digital forensics has lately become one of the very important applications to identify characteristics and originality digital devices. This study focused on analyzing relationship between cameras photographs by using support vector machine (SVM). Based fact that internal imaging formation algorithms are different from manufacturer another, our approach first calculates characteristic values images taken in conjunction with image processing techniques data exploration methods. The training...

Due to the advances of digital technology, contents are widely accepted all over world. Since criminal counterfeits and copyright infringement is still under study for new media, there an increasing need called forensics, which involves collection analysis original device, has become important issue. This offers a universal approach extract statistical features from Gray Level Co-occurrence Matrix (GLCM), Discrete Wavelet Transform (DWT), Spatial filter, Wiener filter Gabor identify printer...

A subsampling based watermarking scheme has been investigated for digital images. The algorithm utilizes the wavelet multiresolutional structure and subsamples individual subband coefficients in order to embed watermark information respectively. extracting procedure reverses embedding operations without reference of original image provides a better copyright protection scheme. Compared with similar approach by discrete cosine transform approach, apparently preserves superior quality...

Recently, digital forensics, which involves the collection and analysis of origin device, has become an important issue. Digital content can play a crucial role in identifying source such as serve evidence court. To achieve this goal, we use different texture feature extraction methods gray-level co-occurrence matrix (GLCM) discrete wavelet transform (DWT), to analyze Chinese printed order find printers. Furthermore, also explore optimum subset by using selection techniques support vector...

It has lately become an important research area of digital forensics to identify the characteristics and originality devices. This paper presents a novel method source color laser printer by using discrete wavelet transform feature selection algorithms. To explore relationship between printers images obtained scanning printed documents, proposed approach utilizes image processing techniques data exploration methods calculate features applying statistical analysis on scanned images. A model...

Digital forensics has lately become one of the very important applications to identify characteristics and originality digital devices. This study focused on analyzing relationship between cameras associated images. image processing technology been applied with data mining method get images' features. Those features were trained classified camera sources from In addition, identification further categorized for improvements, based analyses, enhance precision rate identification. research also...

For digital pathology, automatic recognition of different tissue types in histological images is important for diagnostic assistance and healthcare. Since generally contain more than one type, multi-class texture analysis plays a critical role to solve this problem. The chest X-ray the most commonly accessible radiological examinations screening diagnosis many lung diseases. This study examines statistical features including use Convolutional Layer, ReLU Layer Pooling detect pneumonia from...

We propose a novel image authentication and recovery scheme based on discrete wavelet transform (DWT). By using the property of DWT multiresolution structure, we generate semifragile watermark from low-frequency bands embed information into high-frequency human visual system (HVS) approach. The is able to locate precisely any malicious alteration made restore altered or destroyed regions mechanism. Therefore, requirements ownership protection tampering detection digital right management...

The guidance hypothesis suggested that excessive extrinsic feedback facilitates motor performance but blocks the processing of intrinsic information. present study tested tenet in self-controlled by controlling frequency. learning effect limiting absolute frequency was examined. Thirty-six participants (25 men, 11 women; M age=25.1 yr., SD=2.2) practiced a hand-grip force control task on dynamometer non-dominant hand with varying amounts feedback. They were randomly assigned to: (a)...

The objective assessment of histological images is paramount importance for the early diagnosis colorectal cancer (CRC). However, subjectivity evaluation interobserver variation and traditional visual time-consuming costly. On other hand, automatic recognition analysis digital pathology, challenging remains due to variability containing more than one tissue type characteristics images. In this work, we applied different deep learning techniques based on Convolutional Neural Networks (CNNs)...

A new method of video compression for angiographic images has been developed to achieve high ratio (~20:1) while eliminating block artifacts which leads loss diagnostic accuracy. This adopts motion picture experts group's (MPEGs) compensated prediction takes advantage frame correlation. However, in contrast MPEG, the error arising from mismatches estimation are encoded by discrete wavelet transform (DWT) rather than cosine (DCT). Furthermore, authors a classification scheme label each an...

The Web-based application by VoiceXML service on the Internet is gradually accepted for human-machine interaction because it provides speech-enabled functionality and makes telephone access a reality. However, not cost efficient to build voice only stand-alone Web implementation more reasonable that interfaces should be retrofitted compatible or collaborated with existing HTML XML based applications. Therefore, this paper considers of site enable multiple modalities so human beings can...

This paper studied the wavelet transformation based watermarking tamper detection and recovery scheme. By property of discrete transform, we design semi-fragile watermark from low-frequency band embedding into high-frequency by help human visual system (HVS). The watermarked image still preserves high quality after authentication is able to locate precisely any malicious alteration made image. Our novel can restore altered or destroyed regions attacked images allow users know what original...