Mosaic Defect Detection Based on Macro Block Solid Edge Detection

Wei, Zhenhua; Lin, Jie; Le, Zhang; Song, Shibo

doi:10.19026/rjaset.5.4486

Cited by 7 publications

(3 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Figure 3 shows the overall flowchart of the fuzzy c-means clustering-based mosaic block detection method. As far as the method using the macroblock [24] is concerned, a macroblock format was utilized to detect mosaic blocks. In general, as far as a digital video is concerned, mosaic blocks are expressed as one of the general phenomena resulting from video defects and are what lowers the quality of a video.…”

Section: Related Workmentioning

confidence: 99%

“…As far as this method is concerned, the Sobel edge was detected from the input image, the clustering features were extracted, and the fuzzy c-means clustering was applied to distinguish between general image blocks and grid-type mosaic blocks. In [24], the edge was detected from the image, and the template matching was used to detect the candidate mosaic domains. Finally, a support vector machine (SVM) was used to select the final actual mosaic blocks.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Extraction of mosaic regions through projection and filtering of features from image big data

Jang

2021

COMSIS J

View full text Add to dashboard Cite

When uploading multimedia data such as photos or videos on social network services, websites, and so on, certain parts of the human body or personal information are often exposed. Therefore, it is frequent that the face of a person is blurred out to protect the portrait right of a particular person, and that repulsive objects are covered with mosaic blocks to prevent others from feeling disgusted. In this paper, an algorithm that detects mosaic regions blurring out certain blocks based on the edge projection is proposed. The proposed algorithm initially detects the edge and uses the horizontal and vertical line edge projections to detect the mosaic candidate blocks. Subsequently, geometrical features such as size, aspect ratio and compactness are used to filter the candidate mosaic blocks, and the actual mosaic blocks are finally detected. The experiment results showed that the proposed algorithm detected mosaic blocks more accurately than other methods.

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Extraction of mosaic regions through projection and filtering of features from image big data

Jang

2021

COMSIS J

View full text Add to dashboard Cite

show abstract

“…In [6], fuzzy C-means clustering algorithm is used to detect mosaic blocks accurately. In [7], edges are detected from an image, and candidate regions of a mosaic are detected using template matching. Finally, the actual mosaic area is selected using a support vector machine.…”

Section: Introductionmentioning

confidence: 99%

Detection of Grid-Shaped Mosaic Regions through Geometric Filtering from Social Video Data

Jang¹

2019

IJMUE

View full text Add to dashboard Cite

This paper proposes an algorithm that accurately detects the grid-shaped mosaic region used to cover certain regions of video data based on edge projection. The proposed algorithm first detects Canny edges from the image and detects candidate regions of the mosaic using horizontal and vertical line edge projection. The actual mosaic regions are then finally detected by filtering candidate regions of the mosaic using geometric features. Experimental results show that the proposed algorithm detects the area corresponding to the mosaic block more accurately than the other detection methods from various input images.

show abstract

Robust detection of mosaic masking region

Han

2015

2015 21st Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV)

View full text Add to dashboard Cite

Mosaic Defect Detection Based on Macro Block Solid Edge Detection

Cited by 7 publications

References 7 publications

Extraction of mosaic regions through projection and filtering of features from image big data

Extraction of mosaic regions through projection and filtering of features from image big data

Detection of Grid-Shaped Mosaic Regions through Geometric Filtering from Social Video Data

Robust detection of mosaic masking region

Contact Info

Product

Resources

About