A Comprehensive Analysis of Image Edge Detection Techniques

Ansari, M. A.; Kurchaniya, Diksha; Dixit, Manish

doi:10.14257/ijmue.2017.12.11.01

Cited by 91 publications

(20 citation statements)

References 3 publications

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“…Taking into account the assertion about the need to use tools which allow to define the boundaries of the objects by the analogy with the OpenCV FindContour function in case of the presence of such important options as Erode and Dilate in the analysis of the images with different morphological structure (Ansari et al, 2017;Dilip & Sahu, 2017;Rajani & Veena, 2019;Unajan et al, 2019;Zhu et al, 2020). The software package, Digimizer v. 4.2, should be recommended as an important tool for determining the seed morphological parameters in the use of scanned image processing at the interval remote seed placement because, as we shall show later, the program package, WipFrag 3.3.14.0, does not allow image defragmentation with the intervals between the fragments which form the single scanned image system due to the specifics of the scanned image processing (Maerz & Palangio 1999;Tosun, 2018).…”

Section: Resultsmentioning

confidence: 99%

Selection of Effective Software for the Analysis of the Fractional Composition of the Chaotic Seed Layer Using the Example of Oilseed Radish

Tsytsiura

2021

Eng. Agríc.

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Section: Resultsmentioning

confidence: 99%

Selection of Effective Software for the Analysis of the Fractional Composition of the Chaotic Seed Layer Using the Example of Oilseed Radish

Tsytsiura

2021

Eng. Agríc.

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“…The process of edge detection begins with the gray-scale conversion process and then plot the objects with edges with image stretching to equalize varied pixel values referred from the histogram which is shown in Figure 3e. The various techniques like Roberts, Prewitt, Soble, Laplacian of Gaussian, and Canny detectors are the most popular edge detector used in image preprocessing [21].…”

Section: Edge Detectionmentioning

confidence: 99%

An Efficient Image Preprocessing Technique for Land Use Analysis by Using Remote Sensing Images

2021

IJATCSE

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The advancement in remote sensing technology expands the choice of selection of images for land use mapping. Mapping, specific land use from remotely sensed images requires significant processing steps begins with image acquisition to classification using related algorithms. Useful properties of remote sensing images inherited with variety of errors requires some set of treatment in the form of preprocessing using various preprocessing techniques before the segmentation and classification of images. These preprocessing steps fine-tune the spatial and spectral feature of the data for future processing of the image. The residual characteristics of the image can be retained by calculating local mean and variance matching (LMVM) image fusion technique to retain the spectral information. The proposed study leverages the use of Just Noticeable Difference (JND) model to detect and map the edges of particular point of interest (POI) with reference to the luminance, contrast and structure of the remotely sensed image

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“…A commonly used high pass filter for high pass filtered image z(m, n) in ( 1) is the Laplacian of Gaussian (LoG) [35][36][37]. When the LoG kernel size is M × M, (M = 2h + 1), it is common to set h ≥ 4σ for the edge-detection application.…”

Section: Design Of Tone-mapping-based Dvs 41 Unsharp Masking For Smartphonesmentioning

confidence: 99%

Human Perceptuality-Aware Tone-Mapping-Based Dynamic Voltage Scaling for an AMOLED Display Smartphone

et al. 2021

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In recent years, people have wanted to watch high dynamic range imagery which can give high human visual satisfaction on smartphones and demand longer smartphone battery time. However, compression of dynamic range using tone-mapping operators is required in smartphones because most smartphone displays currently have a low dynamic range, and this causes loss of local contrast and details to compress dynamic range. Thus, in this paper we propose a novel dynamic voltage scaling scheme tightly coupled with a modified tone-mapping operator to achieve high power saving as well as good human perceptuality on an AMOLED display smartphone. In order to perform a human perceptuality-aware voltage control, we control display panel voltage to save power consumption and use a well-adjusted global tone-mapping operator to convert image brightness and unsharp masking to enhance local contrast and details and control. We implement the proposed scheme on the AMOLED display Android smartphone and experiment with various high dynamic range image databases. Experimental results show that not only tone-mapped images but also general images are improved in terms of human visual satisfaction and power saving, compared to conventional techniques.

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A Comprehensive Analysis of Image Edge Detection Techniques

Abstract: One of the important objectives of image processing is to interpret the content of image

Cited by 91 publications

References 3 publications

Selection of Effective Software for the Analysis of the Fractional Composition of the Chaotic Seed Layer Using the Example of Oilseed Radish

Selection of Effective Software for the Analysis of the Fractional Composition of the Chaotic Seed Layer Using the Example of Oilseed Radish

An Efficient Image Preprocessing Technique for Land Use Analysis by Using Remote Sensing Images

Human Perceptuality-Aware Tone-Mapping-Based Dynamic Voltage Scaling for an AMOLED Display Smartphone

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