Real-time monitoring of the gastrointestinal tract in a safe and comfortable manner is valuable for the diagnosis and therapy of many diseases. Within this realm, our review captures the trends in ingestible capsule systems with a focus on hardware and software technologies used for capsule endoscopy and remote patient monitoring. We introduce the structure and functions of the gastrointestinal tract, and the FDA guidelines for ingestible wireless telemetric medical devices. We survey the advanc...

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Doi:10.34133/2021/9854040

The workplace influences the safety, health, and productivity of workers at multiple levels. To protect and promote total worker health, smart hardware, and software tools have emerged for the identification, elimination, substitution, and control of occupational hazards. Wearable devices enable constant monitoring of individual workers and the environment, whereas connected worker solutions provide contextual information and decision support. Here, the recent trends in commercial workplace tech...

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Doi:10.1002/aisy.202100099

Image features play a vital role in image retrieval. This chapter presents the use of Zernike moment features for retrieving the binary and gray level images from established image databases. To retrieve a set of similar category of images from an image database, up to 25 Zernike moment features from order zero to order 8 were utilized and experimented in this chapter. A total of 1400 binary images from MPEG-7 dataset and 1440 images from a COIL-20 dataset were used to evaluate the capability o...

Doi:10.15579/gcsr.vol1.ch12

The term adaptivity is absent from the state-of-the-art moment-based image watermarking methods. A question to be answered is whether adaptive watermark insertion will guide to the enhancement of image's security (concerning a number of requirements such as robustness, imperceptibility, complexity and capacity). Initially, the term adaptivity is being unfold from different perspectives; the selection of the most qualified coefficients (considering their order and magnitude) for carrying the wate...

Doi:10.15579/gcsr.vol1.ch11

The rapid growth of the Internet and multimedia information has generated a need for technical indexing and searching of multimedia information, especially in image retrieval. Image searching systems have been developed to allow searching in image databases. However, these systems are still inefficient in terms of semantic image searching by textual query. To perform semantic searching, it is necessary to be able to transform the visual content of the images (colours, textures, shapes) into sema...

Doi:10.15579/gcsr.vol1.ch10

Methods based on moments and moment invariants have been extensively used in image analysis tasks but rarely in audio applications. However, while images are typically two-dimensional (2D) and audio signals are one-dimensional (1D), many studies have showed that image analysis techniques can be successfully applied on audio after 1D audio signal is converted into a 2D time-frequency auditory image. Motivated by these observations, in this chapter we propose using moments to solve an important ...

Doi:10.15579/gcsr.vol1.ch9

We present a detailed analysis of the Jacobi-Fourier moments and their applications in digital image processing. In order to reach numerical stability during the computation of the Jacobi radial polynomials a recursive approach is described. Also, some discussions are done about the best values of the parameters α and β in terms of its performance. Moreover, the digital image applications studied here are divided in low or high orders n of the polynomials. Typically, the pattern recognition appl...

Doi:10.15579/gcsr.vol1.ch8

This chapter introduces 2D and 3D Gaussian-Hermite moments and rotation invariants constructed from them. Thanks to their numerical stability, Gaussian-Hermite moments provide better reconstruction and recognition power than the geometric and most of other orthogonal moments while keeping the simplicity of design of the invariants. This is illustrated by experiments on real 2D and 3D data.

Doi:10.15579/gcsr.vol1.ch7

Orthogonal moment functions based on Tchebichef polynomials have found several applications in the field of image analysis because of their superior feature representation capabilities. Local features represented by such moments could also be used in the design of efficient texture descriptors. This chapter introduces a novel method of constructing feature vectors from orthonormal Tchebichef moments evaluated on 5x5 neighborhoods of pixels, and encoding the texture information as a Lehmer code...

Doi:10.15579/gcsr.vol1.ch6

We propose a novel algorithm for image deconvolution from the geometric moments(GMs) of a degraded image by a circular or elliptical Gaussian point-spread function(PSF). In the proposed scheme, to show the invertibility of the moment equation in a closed form, we establish a relationship between the moments of the degraded image and the moments of the original image and the Gaussian PSF. The proposed inverted formula paves the way to reconstruct the original image using the Stirling numbers of t...

Doi:10.15579/gcsr.vol1.ch5