Modern Concurrency Techniques: An Exploration

<p>In this thesis, we investigate some of the options programmers have when writing a concurrent program. We explore the use of manually created threads, thread-pools, actors, and Software Transactional Memory. We use these techniques to implement case studies of various kinds: a video game, a physical simulation, an image-processing application, and a concurrent data structure. Through-out these case studies, we notice a common thread: concurrency, applied correctly, can improve the performance of a program—but the correct application may not be readily apparent. Concurrency is an important tool in the toolbox of the modern programmer, especially with the rise of multi-core architectures and the increasing prevalence of distributed systems. And like any tool, it is important to understand how and when to use it.</p>

Modern Concurrency Techniques: An Exploration

<p>In this thesis, we investigate some of the options programmers have when writing a concurrent program. We explore the use of manually created threads, thread-pools, actors, and Software Transactional Memory. We use these techniques to implement case studies of various kinds: a video game, a physical simulation, an image-processing application, and a concurrent data structure. Through-out these case studies, we notice a common thread: concurrency, applied correctly, can improve the performance of a program—but the correct application may not be readily apparent. Concurrency is an important tool in the toolbox of the modern programmer, especially with the rise of multi-core architectures and the increasing prevalence of distributed systems. And like any tool, it is important to understand how and when to use it.</p>

Image processing system using MATLAB-based analytics

Owing to recent technological advancement, computers and other devices running several image editing applications can be further exploited for digital image processing operations. This paper evaluates various image processing techniques using matrix laboratory (MATLAB-based analytics). Compared to the conventional techniques, MATLAB gives several advantages for image processing. MATLAB-based technique provides easy debugging with extensive data analysis and visualization, easy implementation and algorithmic-testing without recompilation. Besides, MATLAB's computational codes can be enhanced and exploited to process and create simulations of both still and video images. Moreover, MATLAB codes are much concise compared to C++, thus making it easier for perusing and troubleshooting. MATLAB can handle errors prior to execution by proposing various ways to make the codes faster. The proposed technique enables advanced image processing operations such as image cropping/resizing, image denoising, blur removal, and image sharpening. The study aims at providing readers with the most recent MATLAB-based image processing application-tools. We also provide an empirical-based method using two-dimensional discrete cosine transform (2D-DCT) derived from its coefficients. Using the most recent algorithms running on MATLAB toolbox, we performed simulations to evaluate the performance of our proposed technique. The results largely present MATLAB as a veritable approach for image processing operations.

Efficient partial product reduction for image processing application using approximate 4:2 compressor

Purpose This paper aims to improve the performance of approximate multiplier in terms of peak signal to noise ratio (PSNR) and quality of the image. Design/methodology/approach The paper proposes an approximate circuit for 4:2 compressor, which shows a significant amount of improvement in performance metrics than that of the existing designs. This paper also reports a hybrid architecture for the Dadda multiplier, which incorporates proposed 4:2 compressor circuit as a basic building block. Findings Hybrid Dadda multiplier architecture is used in a median filter for image de-noising application and achieved 20% more PSNR than that of the best available designs. Originality/value The proposed 4:2 compressor improves the error metrics of a Hybrid Dadda multiplier.

Computer Assistive Palm Reader

Palmistry, also known as palm reading or hand prediction, is the study of a person's personality, fortune, and future by examining his or her hands. Chiromancy is another name for it. Palmistry encompasses not just the reading of one's hand or palm, but also the reading of one's arm, finger, and fingernail. This system shows a digital image processing application that can be used in palmistry to predict people's personalities or future lives. Based on edge detection and recognition, a palmistry prediction system has been created. This developed system uses morphological operations as well. The system uses a decision tree classifier algorithm to identify specific features in the input images and extract principal lines from a human palm image. The most important line patterns in palmistry are summarised and used as models for fortune-telling palm reading. The model predicts a person's personality and displays the predictions based on palmistry knowledge and date of birth.

Implementation of Edge & Shape Detection Techniques and their Performance Evaluation

In this thesis, we develop an industrial image processing application for baked goods. Images of baked objects on a conveyor belt are taken by high resolution cameras batch wise throughout the baking period. The network is designed with high performance equipments and the application is fast enough to complete all the steps within the allowed time window. The application uses Canny edge detection method [6] which optimizes the performance compared to other applications used in the industry. We have analyzed the performance of different key properties; such as processing time of an image, dimensions of an object shape, average color value to detect if an object is properly burned or damaged. Performance in detecting shapes shows higher accuracy for the developed application against other applications used in the baking industry.

Implementation of Edge & Shape Detection Techniques and their Performance Evaluation

In this thesis, we develop an industrial image processing application for baked goods. Images of baked objects on a conveyor belt are taken by high resolution cameras batch wise throughout the baking period. The network is designed with high performance equipments and the application is fast enough to complete all the steps within the allowed time window. The application uses Canny edge detection method [6] which optimizes the performance compared to other applications used in the industry. We have analyzed the performance of different key properties; such as processing time of an image, dimensions of an object shape, average color value to detect if an object is properly burned or damaged. Performance in detecting shapes shows higher accuracy for the developed application against other applications used in the baking industry.