Journal of Image Processing & Pattern Recognition Progress
Volume 7, Issue 2 (2020)
Published
Table of contents
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Fatigue Detection using Artificial Intelligence to Prevent Accident
Abstract: Each year many people lose their lives due to road accidents around the world. Major accidents are due to drowsy driving. Fatigue and micro sleep of the driver are often the root cause of serious accidents. However, initial signs of tiredness can be detected before a critical situation arises. The method used to detect drowsiness are based on behavioral aspects while some are intrusive and may distract drivers, while some …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 7, Issue 2, 2020 · pp. 1–6 Read article
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Evaluating Facial Attractiveness through Proportions Analysis Based on Geometric Features
Abstract: Nowadays, having information about features of an attractive individual’s face plays a crucial role in self-confidence and high performance in such careers as managing a company, marketing, modeling, advertising, etc. In this paper, we intend to determine the features of an ideal individual’s face. For this purpose, we used our proposed method in addition to four angles and distance analysis to find out more parameters of an ideal face. In …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 7, Issue 2, 2020 · pp. 20–26 Read article
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Image Processing based Wall Crack Detection
Abstract: Concrete spalls and crack detection of structures may be a labour intensive and daily task. But, it plays a crucial role in health monitoring of civil infrastructures and buildings. Automated inspection with automated models has been considered one among the simplest ways to eliminate both error and price . This paper presents an automated approach using Camera and towards a Concrete Structure Spalling and Crack database (CSSC)[A], which is far …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 7, Issue 2, 2020 · pp. 27–32 Read article
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Semantic Classification of Images in Hierarchical Manner using Fuzzy Rules and HSVM Classifier
Abstract: Hierarchical structure classification is more effective in concept based classification. The feature vector is varying with the different concepts, though it belongs to the same class. Images which are similar in appearance are not correlated semantically. Hence an author made an attempt to classify the images in the dataset in concept wise in a hierarchical manner. For this, an author manually clustered the same concept images in a layer by …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 7, Issue 2, 2020 · pp. 33–54 Read article
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Enhancing Radiographic Dental Image Visualisation with Colourisation and Graphical User
Abstract: Radiography has been used in dentistry to find cavities, bone loss, hidden dental structures, tumour, and cysts. Due to the monochromatic characteristic of X-ray images, it is difficult to discern disorders and explain the diagnosis procedure. Enhance the visualization of X-rays is one of the ways to ease the work of the dentist. There were several studies to enhance visualization by giving pseudo colour shades to monochromatic images. The conclusion …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 7, Issue 2, 2020 · pp. 7–19 Read article