Automatic brain tumour detection using image processing and data mining techniques

Ramani, R.; Faustina, Febronica; Siddique, Shalika; Sivaselvi, K.

doi:10.1504/ijitm.2021.114157

Cited by 3 publications

(3 citation statements)

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“…Figure 6 demonstrates the filter which fulfills area > 300 × 400 pixels. By obtaining the area, we can identify the basketball [32,33] (4) Finding bounding boxes and labelling -are usually used for object detection in computer vision. They can be considered as imaginary boxes which enclose the detected object.…”

Section: I(x Y)mentioning

confidence: 99%

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Basketball self training shooting posture recognition and trajectory estimation using computer vision and Kalman filter

Egi

2022

Journal of Electrical Engineering

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Self-shooting training is one of the fundamental criteria for success in basketball. Particularly, young players increase their performance with regular training. However, the training process becomes painful and time-consuming without a coach since the incorrect shooting posture causes missing shots, leading to reluctance. In this research, a self-shooting posture algorithm is developed to track the movement of basketball players and give them feedback about their position, angle, and basketball projectile trajectory information. The proposed algorithm uses computer vision techniques and Kalman filter to detect the best projectile trajectory using initial conditions such as acceleration due to gravity the initial velocity at the angle of launch having certain horizontal distance to the rim and the rim distance from the ground The acceleration of both gravity and air drag are altered by predefined parameters, including the drag coefficient basketball mass ball radius and silhouette area The proposed algorithm provides the shooting angle in real-time by placing the projectile angle on to the cropped image of the player posture and draws the projectile trajectory towards the basketball hoop According to the results, the players having a specified height can achieve the best shooting at the angle with air drag force. On the other hand, if there is no air resistance, the best shooting angle is deviated significantly. The other stats that are a total time of travel, maximum horizontal distance, maximum height and the time until the top are also given along with the results.

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Section: I(x Y)mentioning

confidence: 99%

“…y(t) = KF y 0 +v 0y (θ 0 )δt+ 1 2 a 0y (θ 0 )(δt 2 )+N (0, σ) , (32) where N (0, σ) is white Gaussian noise with zero mean. The proposed algorithm is explained by the pseudo-code in Algorithm 1.…”

Section: Motion Tracking and Best Posture Recommendation Algorithmmentioning

confidence: 99%

Basketball self training shooting posture recognition and trajectory estimation using computer vision and Kalman filter

Egi

2022

Journal of Electrical Engineering

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“…It is old because as early as the Stone Age, image carving with rock as the processing object has been produced, and this kind of stone carving is the prototype of image processing; it is young because with the increasing popularity of electronic computers, image processing is no longer carving in the traditional sense, but has become a new form of mechanical processing with digital images as the processing content and various materials as the processing object [1][2]. With the technology and the expansion of its research fields, image processing technology is gradually developing into an integrated field containing CAD, CAM and CAPP and other technologies, and the study of art design systems has become an important part of computer system research [3][4].…”

Section: Introductionmentioning

confidence: 99%

The Design of Art Design System Based on Image Processing Technology

2023

IJAID

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Nowadays, the design of digital image processing technology is developing in the direction of art and personalisation. In line with this development trend, it is necessary to combine computer art design to complete the art design system. The aim of this paper is to study the design of an art design system based on image processing technology. The interactivity of art and image processing technology are analysed, and a synthetic image display algorithm is proposed for application in the art design system. The system development tools and the architecture of the system are presented. We conduct environmental art design experiments, and the experiments yield good results.

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