Abstract
In the recent technology, digital images play an important role to implement various applications, i.e., pattern recognition, object detection, quality enhancement, object tracking, face identification, etc. The image applications may accept input of different types, and some applications have to perform various internal operations to achieve desired results. The proposed research provides best methods, which could be used as internal operations of image-based applications. The methods of proposed research target various features of image like brightness, sharpness, colors and intensity of pixels, and by analyzing these features, the proposed methods can increase efficiency and accuracy of the image-based applications.
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Sharma, S.K., Kumar, A. (2023). Digital Image Transformation Using Outer Totality Cellular Automata. In: Sisodia, D.S., Garg, L., Pachori, R.B., Tanveer, M. (eds) Machine Intelligence Techniques for Data Analysis and Signal Processing. Lecture Notes in Electrical Engineering, vol 997. Springer, Singapore. https://doi.org/10.1007/978-981-99-0085-5_69
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DOI: https://doi.org/10.1007/978-981-99-0085-5_69
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