31261Image processing based concrete crack classification using Logistic Regression model = Phân loại vết nứt trên cấu kiện bê tông sử dụng kỹ thuật xử lý ảnh và mô hình hồi quy lô-git-tíc
This study develops an alternative model based on image edge detection, projection integral, and logistic regression approaches for recognizing and categorizing cracks on concrete surface. The integrated model has been developed using Visual C#.NET and tested with 200 real-world image samples.
31262Image Processing in Java with CDROM
Contents: Event processing and the AWT; Displaying and filtering images; Homogeneous point processing; Digital image processing fundamentals; Input streams; Image file readers and writers; Direct convolution; Spatial filters; Convolution based edge detection; Morphological filtering; Buondary processing; Chromatic light; Warping; Unitary transforms.
31263Image Processing, Analysis and Machine Vision
Tabble of contents: The digitized image and its prpperties; Data structures for image analysis; Image pre processing; Segmentation; Shape representation and description; Object recognition; Image understanding; 3D vision; Linear discrete image transforms; Image data compression; Texture; Motion analysis.
31264Image processing-based automatic gradation of stone aggregates
Gradation strongly influences the mechanical properties of stone materials. This paper aims to employ image processing methods to develop a simple tool for automatic gradation of stone aggregates. The methods of image thresholding, Gaussian filtering, median filtering, morphological closing, and contour analysis are employed. The output of the newly constructed system is the plots demonstrating particle size distribution. These plots can be used for further inspection of aggregate gradation. The system has been developed in Python and with the help of the OpenCV library.
31265Image processing-based measurement of pavement macrotexture depth with sand patch test
This research work utilizes image processing techniques and sand patch tests to measure pavement macrotexture Image processing techniques including median filter, Sobel edge detector, and circle fitting are used. The newly developed method is able to compute the pavement macrotexture depth index based on image of sand patch test. This image processing-based method is developed in Visual C#.NET framework 4.7.2. The newly developed program has been tested with real-world image samples.
31266Image understanding workshop
Section 1: Program reviews by principal investigators; Section 2: Program reviews by principal investigators.
31267Images of the past : 5th ed.
1. Principles of archaeology; 2. The first humans; 3. Out of Africa: Homo erectus; 4. The hunters; 5. Postglacial foragers; 6. The origins of agriculture; 7. Native North Americans; 8. Ancient mesoamerica; 9. South America: The Inca and their predecessors; 10. States and empires in Asis and Africa; …
31268Imagicasa art magazine
Imagicasa magazine wants to highlight the exceptional and luxurious projects in architecture, design, art, cars and hotels. Imagicasa is an inspirational magazine that provides you with the beautiful interiors and innovative design developments.
31269Imaginative realism : how to paint what doesn't exist
In Imaginative Realism: How to Paint What Doesn't Exist, Dinotopia creator James Gurney instructs and inspires beginning artists and fans of fantasy art, sharing his uncanny ability to incorporate amazing detail and imagination into stunningly realistic fantasy settings and teaching, step-by-step, the techniques that won him worldwide critical acclaim. This groundbreaking work examines the practical methods for creating believable pictures of imaginary subjects, such as dinosaurs, ancient Romans, alien creatures, and distant worlds.
31270Imagine! Java: Programming Concepts in Context
Carrano starts students slowly by presenting concepts in small, manageable chunks that force students to focus on one core concept at a time. Carrano uses engaging repetitive examples to reinforce learning before moving on to more complicated concepts. This approach offers the student an opportunity to establish patterns they can use in their own programs and ultimately develop a more intuitive and sustainable understanding of the programming concepts.