Performance Evaluation of Stainless Steel Plate Defects Using Deep Learning Approach

Elanangai, V.; Vasanth, K.

doi:10.1109/icses52305.2021.9633943

Cited by 2 publications

(1 citation statement)

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“…Data, pipeline, process or I / O parallelism or use all of the above logic modules can be configured. FPGAs have already been used in computer vision and image processing to Real-time point tracking, Stereo; color based Material detection and Accelerate video and image compression [22].…”

Section: Image Compressionmentioning

confidence: 99%

Recent Advances in Selection Techniques for Image Processing

Sathiyaraj¹,

Ramachandran²,

Vidhya³

2022

EAE

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The parameters and modifying the code, the library allows students in image processing to learn practical methods. In addition, in addition to teaching programming in the "turtle graphics" paradigm, such as color and dimension and to introduce users to image ideas A new module is provided. Online gallery of examples, in addition to providing an overview of the available activity, commonly used in image processing Introduces several algorithms. These usually include an introduction to the package and an insight, for image processing ideas Provides introductions. Well documented application programming interface (API) contributes to the learning experience with tools that facilitate visualization, It also makes it easier to explore the effect of various algorithms and parameters. So, it is not surprising that there are so many Image processing algorithms for margin extraction, upgrade, rearrangement; data compression, etc. are unambiguous. Artifacts can also be introduced through digital image processing such as margin enhancement. Since artifacts can prevent diagnosis or provide incorrect measurements, it is important to avoid them or at least understand their appearance. It is clear that a pattern independent of the spatial size or scale of image features is required and only emphasizes the range of less-contrasting features. Diversified image processing has been extensively studied not only by computer scientists but also by neurophysiologists, and the approach to improving this image is currently being used in a clinical way. It is well known that the human visual system uses a multifaceted approach.

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Section: Image Compressionmentioning

confidence: 99%