Journal of Image Processing & Pattern Recognition Progress
Volume 7, Issue 1 (2020)
Published
Table of contents
-
Detailed Analysis of Various Data Compression Techniques
Abstract: Data compression refers to reducing the volume of space needed to keep data or reducing the amount of time required to transmit the data. The size of data is diminished by removing the unnecessary information. In this study many different data compression techniques have been studied, such as Shannon Fano, Shannon Fano Elias, Huffman binary and ternary coding. It is found that Huffman coding is the most suitable among these …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 7, Issue 1, 2020 · pp. 1–4 Read article
-
Quality Inspection, Maturity Detection, and Size based Grading of Various Types of Mangoes using Machine Learning Methods
Abstract: Mango is the most significant and flavorsome fruit in most continents, especially in Asia. Mango grading is an important task in agro-industry. The grading process creates many problems during harvesting for mango growers. The manual grading process is performed by visual inspection and it is very time consuming and labor intensive. Due to different market prices and different market demand, automation in mango grading plays an important role to achieve …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 7, Issue 1, 2020 · pp. 18–31 Read article
-
Classification of Mammogram Images Using Multi-SVM
Abstract: Bosom malignant growth is normal in ladies these days. It first starts when cells in the bosom start to develop wild. These cells for the most part structure a tumor that will frequently be seen on an x-beam or felt as an irregularity. Cells in about any piece of the body can become malignant in growth and can spread to different regions of the body. In the current framework, rule …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 7, Issue 1, 2020 · pp. 32–51 Read article
-
Machine Learning Approach to Determine Corrosion Potential of Friction Stir Welded Joints
Abstract: The main objective of the research study is to create an Artificial Neural Network (ANN) architecture to predict corrosion resistance from the Friction Stir Welding experimental dataset given to us. This is also to find the mean squared error and mean absolute percentage error of the given model which will help to analyze the losses and efficiency of the model. In the Artificial Neural Architecture, Tool Rotational Speed (rpm), Axial …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 7, Issue 1, 2020 · pp. 5–17 Read article
-
Detection of Cracks and its Length
Abstract: Numerous artworks, particularly old ones, experience the ill effects of breaks in the substrate, the paint, or the varnish. These examples are more often than not called splits and be brought about by maturing, drying and mechanical factors. The presence of splits on painting disintegrates the depictions quality. One can utilize advanced picture handling strategies to distinguish and dispense with the breaks on the digitized works of art. The primary …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 7, Issue 1, 2020 · pp. 52–61 Read article