Teaching Image Processing Research Articles

Teaching Image Processing and Optical Engineering to University Biology Students

ABSTRACT Biophysics is an interdisciplinary pursuit requiring researchers with knowledge and skills in several areas. Optical instruments and computers are fundamental tools in biophysics research to collect and analyze data. We developed a 1-semester Optical Engineering Laboratory course to teach image processing, optical engineering, and research skills to undergraduate students majoring in biology and biochemistry. With the use of development systems on students' laptops and in the cloud, students learned image processing with Python and OpenCV. Each student constructed a microprocessor-based lensless holographic microscope, gaining hands-on experience with optical engineering. The class culminated in original, student-designed research projects. All lectures, hands-on labs, and student research projects were performed both in person and remotely, in response to the COVID-19 pandemic.

Effectiveness of PBL in delivering image processing method to undergraduate radiography students in Puducherry, India

: Problem Based Learning is an approach to learning and instruction in which students tackle problems in small groups under the supervision of a tutor. This method is very useful in imparting medical education. In this study I am going to apply PBL in the teaching of undergraduate radiography students and study the effectiveness of PBL, particularly in teaching image processing methods in radiography.: A randomized controlled design was used for the study to test the addition of Problem Based Learning (PBL) to theory lectures and clinical experience versus theory and clinical experience alone on student’s knowledge in performing Image processing in radiography. The students were randomly selected and then randomly distributed either to experimental or control group. The knowledge is accessed by valid questionnaire through the pretest and post test for both the experimental and control group. The data are then analyzed by excel work sheet to get the result.: Sixty radiography students from fourth semester were randomly assigned either to the experimental or control group, so that there were 30 students in each. The mean score for the pretest and posttest score are at 21.67 and 34.04 for experimental group with a standard deviation 4.44 and 3.44 respectively while it was 21.80 and 29.07 for the control group with a standard deviation of 3.88 and 3.85 respectively. This study shows that students' knowledge in performing image processing in radiography significantly enhanced after the application the PBL module.

Design and Development of Colour Optic Sensor for Robots (COSBOT)

This paper presents the design and development of the Colour Optic Sensor for Robots (COSBOT). The purpose of this project is to create educational projects for all students in the world for learning and teaching image processing concepts. The original idea comes from a game called HuroCup. The following rules and regulations are general rules of HuroCup, a robotic game and robotics benchmark problem for humanoid robots. The HuroCup competition emphasizes the development of flexible, robust, and versatile robots that can perform many different tasks in different domains. HuroCup encourages research into the many areas of humanoid robotics, especially walking and balancing complex motion planning, and human-robot interaction. There is an all-around competition for the single robot that performs best overall events. Our project prediction is to open all minds that this robot can move according to any direction given using image processing. Before the pixy camera is involved, image processing to robots is difficult because they must have many tons of equipment for processing. This project will be solved what kind of device to create image processing at a fast rate.

Discussion on Curriculum Reform of Digital Image Processing under the Certification of Engineering Education

At present, engineering education professional certification is being recognized by more and more colleges and universities. Engineering education professional certification is oriented by ability training, and puts forward specific reform requirements for all aspects of the talent training system. This paper takes the digital image processing course as an example and discusses the teaching reform under the talent training system of engineering education professional certification talents. In this paper, from the formulation of digital image processing curriculum objectives, the setting of teaching content, procedural assessment method, the design of online hybrid teaching mode, etc., and the three core concepts of engineering education professional certification to the application of the digital image processing teaching reform, practice has proved that after a series of teaching reform, the teaching effect has been greatly improved.

An Effective Practice Method of Visual Case Teaching

According to the needs of computer professional training, in the teaching of image processing course, the traditional teaching methods can not adapt to the pace of the current teaching reform. In the research, combined with the characteristics of digital image processing course, this paper explores a new idea of how to integrate the vision, thinking and teaching knowledge of the educated, which is in line with the law of human understanding and expression of knowledge. This paper also discusses the methods, strategies and mechanisms of case teaching construction, unifies the integration goal of visual teaching and learning with the construction of teaching materials, case construction and visual teaching process, integrates the ideas and concepts of modern teaching into the visual teaching of image processing, and explores new means of personnel training, specifically, the paper studies the visual teaching method of digital image processing course, and puts forward the development strategy of software engineering for the construction of visual teaching. Firstly, it is necessary to analyze the requirements of the construction of the visual teaching for digital image processing course. Then, after the content of the visual teaching construction is determined, the content construction of the teaching is carried further, including the construction of visual teaching material library, etc. Finally, the test of the construction results of visual case teaching is carried out. Overall, a feasible strategy is proposed for visual teaching, which provides an effective way for training new talents.

Teaching Image Processing in Engineering Using Python

This paper describes the experience during the execution of a project that applied the project-based learning (PBL) methodology for teaching an undergraduate course on image processing at the Universidad de los Llanos. During this project, the learners, the students of electronics engineering and computer science, were able to complement their lectures, process and manipulate images, and build their own image processing tools using Python programming language. This paper shows students’ projects resulting from the application of key concepts of image processing and pattern analysis supported by the PBL methodology.

Teaching Image Processing with Hands on

Teaching Image Processing with Hands on

Teaching Image Processing with Hands on

The paper presents personal experience of author in teaching the course Processing for UG students. It gives a systematic approach followed in teaching which yielded an exponential rise in enrolment for the subject. Further, it also justifies the increase in projects carried out by students in the area of Image processing. Hands on sessions helped in meeting the course outcomes and mapping the same with the programme outcomes. Concepts were well understood through project based learning.

Design and Implementation of Digital Image Processing Teaching Demonstration System

Digital image processing technology is widely used in the further application of computer graphics. This thesis introduces a digital image processing teaching demonstration system including image file management, image transformation, color image processing, binarization, image enhancement, and image edge detection extra. In function, it embraces basic skills in digital image processing. This thesis is a favorable assistant in your study and practical application by means of friendly operation interface, the contrast of image processing effect demonstration and algorithm routine.

A New Approach of Image Processing Teaching by Gagne Learning Conditional Theory

A New Approach of Image Processing Teaching by Gagne Learning Conditional Theory

A Windows‐based interface for teaching image processing

AbstractThe use of image processing in research represents a challenge to the scientific community interested in its various applications but is not familiar with this area of expertise. In academia as well as in industry, fundamental concepts such as image transformations, filtering, noise removal, morphology, convolution/deconvolution among others require extra efforts to be understood. Additionally, algorithms for image reading and visualization in computers are not always easy to develop by inexperienced researchers. This type of environment has lead to an adverse situation where most students and researchers develop their own image processing code for operations which are already standards in image processing, a redundant process which only exacerbates the situation. The research proposed in this article, with the aim to resolve this dilemma, is to propose a user‐friendly computer interface that has a dual objective which is to free students and researchers from the learning time needed for understanding/applying diverse imaging techniques but to also provide them with the option to enhance or reprogram such algorithms with direct access to the software code. The interface was thus developed with the intention to assist in understanding and performing common image processing operations through simple commands that can be performed mostly by mouse clicks. The visualization of pseudo code after each command execution makes the interface attractive, while saving time and facilitating to users the learning of such practical concepts. © 2009 Wiley Periodicals, Inc. Comput Appl Eng Educ 18: 213–224, 2010; Published online in Wiley InterScience (www.interscience.wiley.com); DOI 10.1002/cae.20171

A video lecture and lab-based approach for learning of image processing concepts

The current practice of traditional in-class lecture for learning computer science (CS) in the high schools of Taiwan is in need of revamping. Teachers instruct on the use of commercial software instead of teaching CS concepts to students. The lack of more suitable teaching materials and limited classroom time are the main reasons for the software-based teaching practices. This study proposes a pre-class video viewing of the lecture content plus in-class supervised laboratory work as a model that can overcome the above problems. Experiments on teaching image processing concepts at two local high schools have been conducted. The experimental results show that the proposed model is a feasible and effective way for the teaching and learning of image processing. The new approach also facilitates student–student and student–teacher interactions in the classroom. Finally, an improvement in the understanding of the subject by the students and an increased interest toward learning CS are also evident.

Teaching image processing: A two‐step process

AbstractAn interactive program for teaching digital image processing techniques is presented in this article. Instead of heavy programming tasks and mathematical functions, students are led step by step through the exercises and then allowed to experiment. This article evaluates the proposed program and compares it with existing techniques. © 2008 Wiley Periodicals, Inc. Comput Appl Eng Educ 16: 211–222, 2008; Published online in Wiley InterScience (www.interscience.wiley.com); DOI 10.1002/cae.20149

SOFTWARE TOOLKIT FOR TEACHING IMAGE PROCESSING

We introduce a software framework called the Java Vision Toolkit (JVT) for teaching image processing and computer vision. The toolkit provides over 50 image operations and presents them to the user in a GUI that can render grayscale, color and 3D range images. The software is written in Java, enabling it to be integrated into HTML documents and interactive course materials. The framework is designed for extensibility using a source code template that supports the implementation of any new operation with a minimal amount of supporting code. For students, this framework encapsulates the GUI, file I/O and other trivial programming details and allows them the maximum amount of time to spend on understanding computer vision. We compare the JVT with other computer vision software frameworks that are used for teaching and research. We also discuss the use of the JVT in an undergraduate image processing course at the University of South Florida.

Interactive Textbooks; Embedding Image Processing Operator Demonstrations in Text

Traditional image processing teaching has used materials where the theory and drill are separated into textbooks and image processing packages. HTML and JAVA might allow easier construction of an integrated teaching resource. Such a resource would have widespread, platform-independent accessibility. This paper reports our assessment of this potential, which is explored through extensions of the HIPR teaching materials. Our conclusions are that the approach is feasible and attractive to students, that a few standard programming protocols reduce development time, and that use of compiled JAVA is essential.