A statistical approach of multiple resolution levels for canny edge detection

Othman, Zuraini; Abdullah, Azizi; Prabuwono, Anton Satria

doi:10.1109/isda.2012.6416646

Cited by 3 publications

(5 citation statements)

References 13 publications

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“…This study had utilized the provided CrackForest dataset [21] and ground truth edge images. The FMeasure results that are shown in Figure 4 had been obtained by using [14,15] algorithms after the pre-processing phase [23]. There were fifty results obtained for each of the statistical measure, namely, min from (6), max from (7) and mean from (8), for each of the n used.…”

Section: Experiments and Resultsmentioning

confidence: 99%

“…While implementing the Canny edge detection [24], the Otsu method [9] is adopted in the selection of the threshold values. However, a few changes had to be made in order to obtain the best low threshold (L t ) and high threshold values (H t ) as shown in [14,15] through the utilisation of different image resolutions. At this stage, the global and local spatial values will be selected from the variance values depicted in the 2x2 partition (CO2x2), 3x3 partition (CO3x3), 4x4 partition (CO4x4) and 5x5 partition (CO5x5).…”

Section: Crack Detection Using Adaptive Multi Resolution Thresholding...mentioning

confidence: 99%

“…From a statistical perspective, this method also generates the best threshold value [12], which is one of the key factors that greatly affect the performance of the traditional Canny Operator. As such, this research had followed the method used from previous studies such as [12][13][14][15][16][17][18], which is to provide an improved self-adaptive threshold Canny Operator that inherits the merit of Otsu method in choosing the low threshold (L t ) and high threshold (H t ) values adaptively.…”

Section: Introductionmentioning

confidence: 99%

“…Although the current methods had illustrated their efficacy for the detection of salient areas in the Berkeley database [22], they had demonstrated poor performance in terms of the continuity and completeness of the detected crack. In [15], since the modified Canny method had demonstrated effective detection within the Berkeley database, this algorithm was adopted for this study but with certain modifications.…”

Section: Introductionmentioning

confidence: 99%

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Road crack detection using adaptive multi resolution thresholding techniques

Othman¹,

Abdullah²,

Kasmin³

et al. 2019

TELKOMNIKA

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Machine vision is very important for ensuring the success of intelligent transportation systems, particularly in the area of road maintenance. For this reason, many studies had been focusing on automatic image-based crack detection as a replacement for manual inspection that had depended on the specialist's knowledge and expertise. In the image processing technique, the pre-processing and edge detection stages are important for filtering out noises and in enhancing the quality of the edges in the image. Since threshold is one of the powerful methods used in the edge detection of an image, we have therefore proposed a modified Otsu-Canny Edge Detection Algorithm in the selection of the two threshold values as well as implemented a multi-resolution level fixed partitioning method in the analysis of the global and local threshold values of the image. This is then followed by a statistical measure in selecting the edge image with the best global threshold. This study had utilized the road crack image dataset that were obtained from Crackforest. The results had revealed the proposed method to not only perform better than the conventional Canny edge detection method but had also shown the maximum value derived from the local threshold of 5x5 partitioned image outperforming the other partitioned scales.

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Section: Experiments and Resultsmentioning

confidence: 99%

Section: Crack Detection Using Adaptive Multi Resolution Thresholding...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Road crack detection using adaptive multi resolution thresholding techniques

Othman¹,

Abdullah²,

Kasmin³

et al. 2019

TELKOMNIKA

Self Cite

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“…Among the techniques available, the most frequently employed are Sobel, Prewitt, Canny, and Laplacian of Gaussian (LoG). Studies conducted on the Canny technique [12], [13] have served to improve its performance in the context of iris, scenery, retina and handwritten images.…”

Section: Introductionmentioning

confidence: 99%

Comparison between Edge Detection Methods on UTeM Unmanned Arial Vehicles Images

Othman

Ahmad

Kasmin

et al. 2018

MATEC Web of Conferences

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Abstract. Machine vision calls for the use of detectors to ascertain the features and type of object portrayed in the image. The employment of unmanned aerial vehicles (UAVs), which can function freely in active and precarious settings, is currently gaining momentum. These vehicles are mainly used for the detecting, classifying and tracking of an object. However, the achievement of these objectives necessitates the involvement of an effective edge detection procedure. Sobel, Canny, Prewitt and LoG are among the many edge detection procedures presently available. In this endeavour, we opted for the utilization of UTeM UAVs images for an evaluation of these edge detection procedures. During our investigations, the ground truth edge images were corroborated by a specialist in this field. The results obtained from these investigations revealed that in terms of accuracy, precision, sensitivity and f-measure, the Prewitt procedure outperforms the other methods mentioned.

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