Improved image magnification algorithm based on Otsu thresholding

Harb, Suheir M. ElBayoumi; Isa, Nor Ashidi Mat; Salamah, Samy A.

doi:10.1016/j.compeleceng.2015.03.025

Cited by 31 publications

(6 citation statements)

References 18 publications

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“…Some automatic threshold algorithms include the proposals by Pun, Yen, Kapur and Illingwort; however, one of the most used is Otsu’s method. Otsu’s method can be implemented as stated by [50]. Suppose that the pixels in an image are in L gray scale levels in the range

[0, L - 1]

.…”

Section: Methodsmentioning

confidence: 99%

Supportive Noninvasive Tool for the Diagnosis of Breast Cancer Using a Thermographic Camera as Sensor

Garduño-Ramón

Vega-Mancilla

Morales-Henández

et al. 2017

Sensors

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Breast cancer is the leading disease in incidence and mortality among women in developing countries. The opportune diagnosis of this disease strengthens the survival index. Mammography application is limited by age and periodicity. Temperature is a physical magnitude that can be measured by using multiple sensing techniques. IR (infrared) thermography using commercial cameras is gaining relevance in industrial and medical applications because it is a non-invasive and non-intrusive technology. Asymmetrical temperature in certain human body zones is associated with cancer. In this paper, an IR thermographic sensor is applied for breast cancer detection. This work includes an automatic breast segmentation methodology, to spot the hottest regions in thermograms using the morphological watershed operator to help the experts locate the tumor. A protocol for thermogram acquisition considering the required time to achieve a thermal stabilization is also proposed. Breast thermograms are evaluated as thermal matrices, instead of gray scale or false color images, increasing the certainty of the provided diagnosis. The proposed tool was validated using the Database for Mastology Research and tested in a voluntary group of 454 women of different ages and cancer stages with good results, leading to the possibility of being used as a supportive tool to detect breast cancer and angiogenesis cases.

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[0, L - 1]

.…”

Section: Methodsmentioning

confidence: 99%

Supportive Noninvasive Tool for the Diagnosis of Breast Cancer Using a Thermographic Camera as Sensor

Garduño-Ramón

Vega-Mancilla

Morales-Henández

et al. 2017

Sensors

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show abstract

“…5 b . Then obtain the binary image of the target lily boundary by the maximum variance between classes Otsu binary method (OTSU) [17–20]. The Canny operator is used for edge detection to obtain the outline of the target lily, and then the approximate region of the target flower edge is obtained through analysis of the regional growth and connected fields.…”

Section: Robot Control System Designmentioning

confidence: 99%

Kinematics analysis and experiment of a lily picking mechanical arm

Jiang

Xiang

Cheng

et al. 2018

J. eng.

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“…It is essential to determine the particle size distribution as they affect the powders dissolution, dispersion and the flow properties. In the recent times, there have been tremendous works on the techniques to improve and address the dichotomy between the image backgrounds and foreground, especially when the object in a case is brighter with much variance [5,6]. The image segmentation technique requires knowledge about difference intensity and object size for successful thresholding.…”

Section: Introductionmentioning

confidence: 99%

Preparation, Characterization, Image Segmentation and Particle Size Analysis of Cow Bone Powder for Composite Applications

Ikumapayi

Akinlabi

Adedeji

et al. 2020

Lecture Notes in Mechanical Engineering

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Cow bone is a bio-waste material that has caused environmental unfriendliness to the people living around the place of production and deposition. In recent time, researchers have exploited various means of utilizing this bio-waste material and make it environmentally friendly and economically utilizable, especially in the area of applications, such as activated carbon, water purification, reinforcement in composites, filler and additives, and its efficacy has been traced to whether is in the form of macro-, micro-and nanoparticles. In this study, cow bone head (skull) was collected, washed and cleaned from meats, processed, sun-dried for six weeks, and it was then washed again with distilled water to remove impurities and contaminants, then placed inside the oven set at 50°C to dry for 5 h to remove any trace of moisture content and to ensure absolute dryness. It was then milled into nanoparticle powder using vibratory disk milling machine and the milling times were 0 min which was taken to be 150 µm size, 20, 40 and 60 min. The morphological and physiological characterizations were carried out using scanning electron microscopy (SEM), energy dispersive X-ray (EDX) as well as X-ray fluorescence (XRF). MATLAB (R2015a) was employed for image processing into bimodal with foreground and background pixels using thresholding segmentation method. SEM images were taken at 1.00 ×, 2.00 × and 5.00 × which resulted to 50 µm, 20 µm and 10 µm, respectively. The image segmentation was employed to determine the foreground from a background of cow bone powder (CBP) and to enhance high resolutions, visual perception as well as to achieve better quality of the final output.

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Improved image magnification algorithm based on Otsu thresholding

Cited by 31 publications

References 18 publications

Supportive Noninvasive Tool for the Diagnosis of Breast Cancer Using a Thermographic Camera as Sensor

Supportive Noninvasive Tool for the Diagnosis of Breast Cancer Using a Thermographic Camera as Sensor

Kinematics analysis and experiment of a lily picking mechanical arm

Preparation, Characterization, Image Segmentation and Particle Size Analysis of Cow Bone Powder for Composite Applications

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