Marker-based image segmentation has been widely used in image analysis and understanding. The well-known Meyer’s marker-based watershed algorithm by immersion is realized using the hierarchical circular queues. A new marker-based segmentation algorithm relying on disjoint set union is proposed in this paper. It consists of three steps, namely: pixel sorting, set union, and pixel resolving. The ...

This paper proposes an idea for advanced learning system to school children using virtual character recognition for smart class rooms. The proposed technique has two phases, the first phase involves in creating numerals or character input virtually. The virtual input is obtained by tracking the movement of colored blob in front of the webcam. The blob can be detected with the help of Region of ...

ÐThe implementation of morphological connected set operators for image filtering and pattern recognition is discussed. Two earlier algorithms based on priority queues and hierarchical queues, respectively, are compared to a more recent union-find approach. Unlike the earlier algorithms which process regional extrema in the image sequentially, the union-find method allows simultaneous processing...

The objective of this work is to develop a general structure for semantic image analysis that is suitable for content-based image retrieval in medical applications and an architecture for its efficient implementation. Stepwise content analysis of medical images results in six layers of information modeling (raw data layer, registered data layer, feature layer, scheme layer, object layer, knowle...

In this paper, we propose a novel practical method for blob-based liquid 3D morphing. Firstly, blobby objects are employed to approximate a given polygonal surface. The primitives in the medial axis sphere-tree of a polygonal model are utilized as initial blobs— this greatly improves the robustness and efficiency of the blob-based approximation. Secondly, we establish the blob correspondences b...

A theory of the probability distribution function (PDF) tails of the blob density in plasma edge turbulence is provided. A simplified model of the fast convective radial transport is used. The theoretically predicted PDF tails corroborate earlier measurements of edge transport, further confirming the strongly non-Gaussian feature of edge transport. It is found that increasing the cross sectiona...

Conventional video surveillance systems often have several shortcomings. First, target detection can’t be accurate under the light variation environment. Second, multiple target tracking becomes difficult on a crowd scene. Third, it is difficult to partition the tracked targets from a merged image blob. Finally, the tracking efficiency and precision are reduced by the inaccurate foreground dete...

Abstract. This paper presents the application of machine learning techniques for acquiring new knowledge in the image tracking process, specifically, in the blobs detection problem, with the objective of improving performance. Data Mining has been applied to the lowest level in the tracking system: blob extraction and detection, in order to decide whether detected blobs correspond to real targe...

Detection thresholds were compared for moving and stationary oscillations with equivalent contrast changes. Motion was more detectable than stationary oscillation, and the difference increased with size of the feature (a Gaussian blob). Phase discriminations between a center and two flanking features were much better for motion than for stationary oscillation. Motion phase discriminations were ...