Artificial Bee Colony and Its Application for Image Fusion

In this paper, a hybrid method to measure lesion area on the green leaf surface is presented. The method involved combining two algorithms, Artificial Bee Colony and Otsu algorithm and applying geometry to obtain the area. Three leaf images were used that contains leaf lesions of different sizes: small, medium and big. The method was conducted in three phases, data preparation, algorithm construction and analysis. Comparison was made with pixel counting, and real measurement. The results show that the proposed hybrid method achieved results more accurate (average accuracy 92.03%) and faster (average time processing 0.015 milliseconds) than the pixel counting method.

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“…In this phase, an algorithm was enhanced based on [20]. They developed the algorithm based on ABC to detect the lesion on leaf surface.…”

Section: Phase 2: Algorithm Constructionmentioning

confidence: 99%

Geometry based hybrid method for determining lesion area

Ahmad

Airuddin

2014

2014 4th World Congress on Information and Communication Technologies (WICT 2014)

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“…Efficiency of picture watermarking applying DWT could be increased by raising the levels of DWT i.e. 2-level DWT, 3-level DWT and so on [12]. The watermark is stuck in the lower area of the cover picture and occurred watermarked picture is better quality without dropping the grade of the image.…”

Section: B Top Features Of Digital Watermarking 1) Robustnessmentioning

confidence: 99%

“…PSO is integrated for locating perfect scaling factors required for effective robustness and also to provide better security. Prabhat Kumar Sharma et.al (2012) [12] had planned the utilization of ABC for optimum fusion of multi-temporal pictures and studied the effect of the difference in the source area. Shilpa P. Metkar et.al (2013) [14] had presented a scheme for enhancing picture protection.…”

Section: Related Workmentioning

confidence: 99%

Digital Image Watermarking Techniques: A Review

Kaur¹

2017

ijarcs

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This paper represents different Digital Watermarking Techniques which permits an individual to add hidden copyright notice as well as any other verification messages to images so that it can be protected from the unauthorized access. Generally watermark is provided with two types one is visible watermark and other is invisible watermark. The main aim of paper is to explore the comparison of various digital image watermarking techniques and it also demonstrates that all these watermarking techniques provides image watermarking with full security and reasonable capacity.

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“…Pixels whose original intensity is above the threshold value will be classified as white pixels (1) and are considered as a part of the object. Whereas, the pixels below this threshold value will be classified as black pixels (0) and belong to the background.…”

Section: Thresholding Techniquesmentioning

confidence: 99%

“…Recently, due to the advances in the field of artificial intelligence and information technology, improvement in the interpretation of the medical images has significantly contributed to the early diagnosis of different diseases [1]. Therefore, there should be CAD systems that help doctors to understand the medical image.…”

Section: Introductionmentioning

confidence: 99%