In this paper we present a system for the detection of immunogold particles and a Transfer Learning (TL) framework for the recognition of these immunogold particles. Immunogold particles are part of a high-magnification method for the selective localization of biological molecules at the subcellular level only visible through Electron Microscopy (EM). The number of immunogold particles in the c...

Dental Caries are one of the most prevalent chronic diseases around globe. Detecting carious lesions is a challenging task. Conventional computer aided diagnosis and detection methods in past have heavily relied on visual inspection teeth. These only effective large clearly visible caries affected been limited performance due to complex characteristics dental images, which consist hidden or ina...

This paper addresses vision-based people counting under the assumption of an oblique stationary camera setup without any usage of tracking. Our approach is based on motion detection and blob analysis. The estimation of the number of people in the scene is done by accumulating the estimation values of each blob. The blob specific estimation values are computed using four input values: the minimu...

During the last decade, performance improvements in top sports have been increasingly driven by technological innovations. This paper discusses the application of video analysis for training registration in swimming. In current practice, coaches have limited means to evaluate objectively and quantitatively how a training session was carried out. We propose the use of a video-based registration ...

Feature detection is very important to image processing area. In this paper we compare and analyze some characteristics of image processing algorithms for corner and blob feature detection. We also analyze the simulation results through image matching process. We show that how these algorithms work and how fast they execute. The simulation results are shown for helping us to select an algorithm...

The blob detection methods plays the vital role in the various image processing models. The blob detection models are utilized for the localization of the visible objects in the given images in order to understand the type and size of the objects. The blob detection can be utilized for the classification, categorization and other purposes in the image processing models. In the proposed model, t...

Magnetic fusion could provide an inexhaustible, clean, and safe solution to the global energy needs. The success of magnetically-confined fusion reactors demands steady-state plasma confinement which is challenged by the blob-filaments driven by the edge turbulence. Real-time analysis can be used to monitor the progress of fusion experiments and prevent catastrophic events. However, terabytes o...

Magnetic fusion could provide an inexhaustible, clean, and safe solution to the global energy needs. The success of magnetically-confined fusion reactors demands steady-state plasma confinement which is challenged by the edge turbulence such as the blob-filaments. Real-time analysis can be used to monitor the progress of fusion experiments and prevent catastrophic events. We present a real-time...

This paper proposes an object detection method using the methods of variable size blob detection along with feature stability. The objective of this algorithm is for detecting variable size and variable shape objects without the use in preceding information of the object of interest. Process of the algorithm constructs a scalespace tree from blobs detected from a series of images after blurring...