[PDF] Top 20 Research on Surface Defect Detection Based on Semantic Segmentation

Research on Surface Defect Detection Based on Semantic Segmentation

... A defect detection method based on semantic segmentation is proposed in this paper, which is used to detect defects on the surface of ...product surface defect ... See full document

5

Semantic Segmentation Based Remote Sensing Data Fusion on Crops Detection

... Figure 3(a) shows some scenes with banana plantation where you can see different levels of growth, even within the plantations there are irregular areas without crops. Figure 3(b) shows the bare lands with various color ... See full document

12

Semantic Segmentation Of Rocks On Lunar Surface Using Convolutional Neural Networks

... the research imaginable ...lunar surface to have a desire to understand the terrific rock and soil fair or unsatisfactory for the arrival of a slightly improved this method ... See full document

6

Review of vision-based steel surface inspection systems

... of surface defect detection have been ...in surface defect detection using texture analysis techniques have been dealt with by Xie [6] covering applications in mainly textiles, ... See full document

19

Machine learning based Hybrid Method for Surface Defect Detection and Categorization in PU Foam

... mer, surface defects during cutting or rolling, ...This research is an attempt to reduce the amount of manual work done by the workers and to prevent foam making industries from incurring ... See full document

6

Mechanical Part Surface Defect Detection using Crack Extraction Approach

... for defect detection of textured material [3], textile fabric [4], and fruits [6] ...the defect detection techniques have been proposed and they are classified in four different ...model ... See full document

5

Surface Defect Detection of Solar Cell Based on Difference Image Method

... to research a cost-effective approach to detect solar ...which based on machine-vision and worked with heterogeneous multi-core processor was proposed, this solution can enhance the efficiency of ... See full document

7

Defect Detection of Mobile Phone Surface Based on Convolution Neural Network

... Deep learning, especially convolution neural networks, has been paid more and more attention as the research focus of image detection and pattern recognition in recent years. The general CNN consists of ... See full document

9

Metallic Surface Coating Defect Detection Using Firefly Based Adaptive Thresholding and Level Set Method

... crack detection and identification develop into certainty on the basis of machine vision [5] ...median based Otsu (MBOT) [7] are the existent thresholding approaches for image ... See full document

7

Surface Defect Detection on Optical Devices based on Microscopic Dark-Field Scattering Imaging

... algorithm based on SIFT [11] is ...threshold segmentation method is used to segment images that have been stitched together by the image mosaic ...the surface of optical devices can be divided into ... See full document

9

An Adaptive Background Adjusting Algorithm for Rail Surface Defect Image Segmentation

... rail surface region in the original image is extracted and ...degree, defect area and boundary of shadow area can be separate from the whole image, and a new similarity measure is proposed by combining CV ... See full document

5

Intrusion Detection System Based on Data Mining Techniques

... Intrusion Detection System (IDS) we have provided an overview of different types of intrusion Detection Systems, the advantages and disadvantages of the ...intrusion detection system that uses state ... See full document

6

Research on Pipeline Defect Detection Based on Optimized Faster R cnn Algorithm

... Television) detection technology is widely used in the pipeline internal detection, operators do not need to go down the well to accurately detect the pipeline ...fatigue detection accuracy. ... See full document

6

Semantic Segmentation and Object Detection Based On Active Contour Model and Fuzzy Clustering

... Image segmentation is a central goal in computer vision, and it pertains to extracting the salient and coherent regions that semantically belong to different ...the segmentation is accomplished, the more ... See full document

128

AN EFFICIENT INFORMATION RETRIEVAL SYSTEM USING QUERY EXPANSION AND DOCUMENT RANKING

... Detection process is carried out by the two main process, patterns analyze (Part-Of-Speech) and similarity adjustment. In patterns analysis, POS is focusing on the main elements, namely Noun, Verb, Adjective and ... See full document

13

Rail Defect Detection and Classification with Real Time Image Processing Technique

... rail defect detection method is improved according to the previous work ...the defect detection is increased with adaptive ...as defect areas. When the proposed detection method ... See full document

8

Detection of Hard Exudates Based on Morphological Feature Extraction

... is based on morphological feature ...level detection on Diaretdb1 database and achieved higher accuracy on publicly available e-ophtha EX retinal image database in terms of lesion level ...Early ... See full document

11

Defect Detection On The Metal Surface By Using Machine Vision Sensor

... metallic surface defects becomes an main issue (Sun, Tseng, & Chen, ...process. Surface defects is mostly used in manufacturing process to check the quality of the surface finishing such as steel ... See full document

24

Overview of Scene Change Detection Application to Watermarking

... change detection algorithm using direct edge information extraction from MPEG video ...change detection algorithm using direct feature extraction from MPEG compressed videos, and evaluate this technique ... See full document

5

A Method of Vehicle License Plate Detection for Traffic Violation Detection Based on Vertical Edge Detection

... utilized two cascade classifiers depends on quantifiable and Haar highlights to decrease the complexity of the system and to create strides the disclosure rate of the system. In any case, this methodology will take much ... See full document

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