Đang chuẩn bị liên kết để tải về tài liệu:
Image processing based concrete crack classification using Logistic Regression model

Không đóng trình duyệt đến khi xuất hiện nút TẢI XUỐNG

Computer vision models have been proven to be productive as well as effective for concrete crack detection. 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. Experimental results point out that the new model has attained a good predictive performance with a classification accuracy of 92.5%. |

TÀI LIỆU LIÊN QUAN

A review on recently developed technologies for weed recognition and herbicide application based on digital image processing

Urban neighbourhood environment assessment based on street view image processing: A review of research trends

Báo cáo khoa học: "An Alignment Method for Noisy Parallel Corpora based on Image Processing Techniques"

Ki67 nuclei detection and ki67-index estimation: A novel automatic approach based on human vision modeling

THE DIGITAL IMAGE PROCESSING

Báo cáo hóa học: " FPGA-Based Configurable Systolic Architecture for Window-Based Image Processing"

Biosignal and Biomedical Image Processing MATLAB-Based Applications Muya phần 1

Biosignal and Biomedical Image Processing MATLAB-Based Applications Muya phần 2

Biosignal and Biomedical Image Processing MATLAB-Based Applications Muya phần 3

Biosignal and Biomedical Image Processing MATLAB-Based Applications Muya phần 4
Đã phát hiện trình chặn quảng cáo AdBlock
Trang web này phụ thuộc vào doanh thu từ số lần hiển thị quảng cáo để tồn tại. Vui lòng tắt trình chặn quảng cáo của bạn hoặc tạm dừng tính năng chặn quảng cáo cho trang web này.