Fuzzified Circular Gabor Filter for Circular and Near-Circular Object Detection

Abstract

This paper presents a new algorithm for filtering and detecting circular and deformed circular objects. The resulting procedure is based on fuzzifying the parameters of a circular Gabor filter to optimize the response of the circular Gabor filter and achieve additional selectivity of the filter. Circular and deformed circular objects of interest were efficiently extracted, and considerable resistance to noise and image degradation was achieved. INDEX TERMS Circular Gabor filters, fuzzification of filter parameters, fuzzy system, image filtering, image texture analysis, object detection.

Perspectives of RealSense and ZED Depth Sensors for Robotic Vision Applications

“…These are principal features related to all depth cameras since the lenses, aperture, and light significantly affect the image quality of any camera, not only the depth camera. These features enable high-quality depth images to be obtained, upon which promising robotic vision applications can be developed [41][42][43][44][45][46][47][48][49][50][51][52][53][54][55][56][57][58][59]. According to the Stereolabs [16], the main features of ZED cameras are listed in Table 2.…”

“…Up to now, 3D depth cameras have been very expensive, and their utilization has been complex and burdensome from a hardware standpoint. Nowadays, thanks to technical progress, the price of 3D depth sensors that can measure image depth is considerably affordable and their use much simpler [41][42][43][44][45][46][47][48][49][50][51][52][53][54][55][56][57][58][59].…”

A Note on Advantages of the Fuzzy Gabor Filter in Object and Text Detection

“…In recent years, a new approach using fuzzy logic [31,32] has been introduced in the implementation of the Gabor filter [17][18][19][20][21]. Tadic et al [17][18][19] approached the problem of filtration using Gabor filters by taking into account fuzzy logic, a powerful mathematical apparatus that closely imitates human reasoning [20]. Using this apparatus, the Gabor filter parameters were converted into the fuzzy parameters to improve the filter's response [20,21].…”

“…The intention of this article is to highlight the most relevant aspects of our research on the topic of Gabor filter fuzzification during the past few years [17][18][19]. The paper revises derivation on a 2D Gabor filter with an explanation of the fuzzification of the filter parameters and a guidance for the development of other fuzzy image filters.…”

“…These applications are the relevant segment of security and surveillance systems and should successfully deliver despite the presence of noise in acquired images, lighting conditions, artifacts, and other image-deteriorating effects. The localization of a license plate from a complex image, as one of the very first applications of object recognition, still remains a common research issue, with focus shifting towards boosting of the algorithm's performance in less controlled ambient conditions using commercial equipment [17][18][19][33][34][35]. Simple, fast, and robust solutions, such as the proposed fuzzy Gabor filter, open the possibility of using inexpensive cameras for license plate and text localization and similar basic computer vision tasks.…”