Separable and non-separable discrete wavelet transform based texture features and image classification of breast thermograms

Highly sensitive infrared cameras can produce high-resolution diagnostic images of the temperature and vascular changes of breasts. Wavelet transform based features are suitable in extracting the texture difference information of these images due to their scale-space decomposition. The objective of this study is to investigate the potential of extracted features in differentiating between breast lesions by comparing the two corresponding pectoral regions of two breast thermograms. The pectoral regions of breastsare important because near 50% of all breast cancer is located in this region. In this study, the pectoral region of the left breast is selected. Then the corresponding pectoral region of the right breast is identified. Texture features based on the first and the second sets of statistics are extracted from wavelet decomposed images of the pectoral regions of two breast thermograms. Principal component analysis is used to reduce dimension and an Adaboost classifier to evaluate classification performance. A number of different wavelet features are compared and it is shown that complex non-separable 2D discrete wavelet transform features perform better than their real separable counterparts.

The Australian corporate rescue provisions : how do they compare?

A notable feature of corporate legislative development in western countries for the past 30 years is the various mechanisms introduced to facilitate the survival of company structures facing insolvency. Australia’s corporate rescue version, called a “voluntary administration”, is now contained in Part 5.3A of the Corporations Act 2001 (Cth), although first introduced in 1993. The Australian provisions apply to all corporate entities and commence with a short moratorium followed by a meeting of creditors. At the creditors’ meeting a “rescue” plan called a deed of company arrangement may be entered into, or, alternatively the company may be liquidated. The voluntary administration provisions have become a significant part of Australia’s corporate insolvency landscape and are critical to the operation of corporate law outside of insolvency. Australia does not have a specialist bankruptcy court, rather it utilises the English approach where insolvency practitioners are accountants and appointed to the insolvent company as administrators. In Australia, insolvency practitioners must be registered with the Australian Securities and Investments Commission (“ASIC”), the corporate and securities regulator. A voluntary administration is usually commenced by the board of directors appointing an insolvency practitioner to the company. There exists no opportunity for a voluntary administration to commence at the creditors’ or court’s behest. This chapter seeks to address the comparative necessity of Australia’s corporate regime.

Corporate social responsibility in Japanese firms in transport sector

Corporate Social Responsibility (CSR) reporting has become common practice for large organisations globally, yet there is variance in the CSR related activities claimed in disclosures. CSR researchers argue that cultural and historical backgrounds are the influential drivers of CSR behaviour. However, the links between actual activities claimed in CSR reports and the cultural systems that underpin these reported activities is an under-explored area. This thesis discusses the uniqueness of Japanese socio-cultural aspects. While Japan is well-known for having the most advanced energy efficient technologies in the world, it is also known for being below international standards for gender equality in the workplace. Therefore, this thesis aims to explore and examine organisational behaviours through the lens of relativism in order to understand what organisations are reporting and how and why managers prioritise these activities. This thesis is based on longitudinal qualitative research focusing on the Japanese transport companies that published CSR reports between 2005 and 2009. The findings from manually coded content analysis revealed: (1) that activities related to providing public safety, waste management and the 3Rs (reduce, reuse and recycle), and environmental innovation were the top three most frequently reported CSR activities; and (2) complying with laws, career planning, flexible work practices, and providing public safety were the three categories that showed the most significant increase in reporting frequency from 2005-2009. This thesis extends the previous literature. Takagaki (2010b) identified that the transport industry, particularly the air and water sub-sectors, is the industry where the environmental problems are serious and require urgent attention. Takagaki (2010b) chose to explore the electronics industry as this industry is considered to be middle ground for its level of seriousness and urgency. This research: (1) examines the transport industry; (2) investigates the links between the actual activities reported, and the activities reported to be influential drivers of these activities.

Characteristics of Bangladeshi corporate networks

Over the past 40 years, Bangladesh has been undergoing economic reforms and institutional transitions to a market economy. An important product of this strategic transition has been the emergence of interlocking directorates, where a director sits on multiple directorate boards of corporations. Given this background, this thesis seeks to examine the attributes of the corporate network of interlocking directorships in Bangladesh. To date, the study of interlocking directorates has concentrated on Western economies. This study provides the results from a systematic exploration of the corporate network of Bangladesh based on data drawn from 100 largest listed companies in 2010.

Ownership, corporate governance and liquidity in Caribbean firms

This thesis provides the first evidence on how ownership structure and corporate governance relate to stock liquidity in the Caribbean. Based on panel data of 71 firms from three selected Caribbean markets − Barbados, Jamaica, and Trinidad & Tobago − results show that firms with concentrated ownership are associated with lower liquidity. The identity of the largest shareholder also matters: family firms and firms with foreign holding companies are more liquid than government firms. Although the second largest shareholding does not appear to matter to liquidity, there is some evidence showing that firms with foreign holding companies as the second largest shareholder are less liquid. Caribbean firms suffer from poor corporate governance but this study is unable to establish a significant relationship between corporate governance and liquidity.

CFO inside debt and corporate innovation

This thesis examines the importance of CFO incentives on the value maximization of firm. It examines the association between CFO inside debt compensation i.e., CFO pensions and deferred compensation, and investment in corporate innovation. It finds that instead of encouraging innovation, CFO inside debt appears to have a dampening effect on investment in innovation.

A computer image analysis system for microvessel density measurement in solid tumours

Microvessel density (MVD) is a widely used surrogate measure of angiogenesis in pathological specimens and tumour models. Measurement of MVD can be achieved by several methods. Automation of counting methods aims to increase the speed, reliability and reproducibility of these techniques. The image analysis system described here enables MVD measurement to be carried out with minimal expense in any reasonably equipped pathology department or laboratory. It is demonstrated that the system translates easily between tumour types which are suitably stained with minimal calibration. The aim of this paper is to offer this technique to a wider field of researchers in angiogenesis.

From words to integers and beyond in corporate life

Poets have a licence to couch great truths in succinct, emotionally powerful, and perhaps slightly mysterious and ambiguous ways. On the other hand, it is the task of academics to explore such truths intellectually, in depth and detail, identifying the key constructs and their underlying relations and structures, hopefully without impairing the essential truth. So it could be said that in January 2013, around 60 academics gathered at the University of Texas, Austin under the benign and encouraging eye of their own muse, Professor Rod Hart, to play their role in exploring and explaining the underlying truth of Yan Zhen’s words. The goals of this chapter are quite broad. Rod was explicit and yet also somewhat Delphic in his expectations and aspirations for the chapter. Even though DICTION was a key analytic tool in most chapters, this chapter was not to be about DICTION per se, or simply a critique of the individual chapters forming this section of the book. Rather DICTION and these studies, as well as some others that got our attention, were to be more a launching pad for observations on what they revealed about the current state of understanding and research into the language of institutions, as well as some ‘adventurous’, but not too outlandish reflections on future challenges and opportunities.

Corporate ownership, corporate governance reform and timeliness of earnings : Malaysian evidence

This paper provides the first evidence showing that ownership concentration and the identity of the largest shareholder matter to the timeliness of corporate earnings, measured by a stock price-based timeliness metric and the reporting lag. Using panel data of 1276 Malaysian firms from 1996 to 2009, we find a non-linear relationship between concentrated ownership, measured by the largest shareholding in a firm, and the reporting lag but not the timeliness of price discovery. Although firms with government as the largest shareholder and political connections have a significantly shorter reporting lag, only the former are timelier in price discovery. Firms with family and foreigners as the largest shareholder however are less timely in price discovery. While the reporting lag is shorter in the period after the integration of the Malaysian Code of Corporate Governance (MCCG) into Bursa listing rules, its impact on the timeliness of price discovery is mostly immaterial.

A comparison of the histochemical and image-derived proteoglycan content of articular cartilage

There are several methods for determining the proteoglycan content of cartilage in biomechanics experiments. Many of these include assay-based methods and the histochemistry or spectrophotometry protocol where quantification is biochemically determined. More recently a method based on extracting data to quantify proteoglycan content has emerged using the image processing algorithms, e.g., in ImageJ, to process histological micrographs, with advantages including time saving and low cost. However, it is unknown whether or not this image analysis method produces results that are comparable to those obtained from the biochemical methodology. This paper compares the results of a well-established chemical method to those obtained using image analysis to determine the proteoglycan content of visually normal (n=33) and their progressively degraded counterparts with the protocols. The results reveal a strong linear relationship with a regression coefficient (R2) = 0.9928, leading to the conclusion that the image analysis methodology is a viable alternative to the spectrophotometry.

Image segmentation and pose estimation of humans in video

This thesis introduces improved techniques towards automatically estimating the pose of humans from video. It examines a complete workflow to estimating pose, from the segmentation of the raw video stream to extract silhouettes, to using the silhouettes in order to determine the relative orientation of parts of the human body. The proposed segmentation algorithms have improved performance and reduced complexity, while the pose estimation shows superior accuracy during difficult cases of self occlusion.

Dealing with shadows : capturing intrinsic scene appearance for image-based outdoor localisation

In outdoor environments shadows are common. These typically strong visual features cause considerable change in the appearance of a place, and therefore confound vision-based localisation approaches. In this paper we describe how to convert a colour image of the scene to a greyscale invariant image where pixel values are a function of underlying material property not lighting. We summarise the theory of shadow invariant images and discuss the modelling and calibration issues which are important for non-ideal off-the-shelf colour cameras. We evaluate the technique with a commonly used robotic camera and an autonomous car operating in an outdoor environment, and show that it can outperform the use of ordinary greyscale images for the task of visual localisation.

Optimal camera planning under versatile user constraints in multi-camera image processing systems

The selection of optimal camera configurations (camera locations, orientations, etc.) for multi-camera networks remains an unsolved problem. Previous approaches largely focus on proposing various objective functions to achieve different tasks. Most of them, however, do not generalize well to large scale networks. To tackle this, we propose a statistical framework of the problem as well as propose a trans-dimensional simulated annealing algorithm to effectively deal with it. We compare our approach with a state-of-the-art method based on binary integer programming (BIP) and show that our approach offers similar performance on small scale problems. However, we also demonstrate the capability of our approach in dealing with large scale problems and show that our approach produces better results than two alternative heuristics designed to deal with the scalability issue of BIP. Last, we show the versatility of our approach using a number of specific scenarios.

Training-free probability models for whole-image based place recognition

Whole-image descriptors such as GIST have been used successfully for persistent place recognition when combined with temporal filtering or sequential filtering techniques. However, whole-image descriptor localization systems often apply a heuristic rather than a probabilistic approach to place recognition, requiring substantial environmental-specific tuning prior to deployment. In this paper we present a novel online solution that uses statistical approaches to calculate place recognition likelihoods for whole-image descriptors, without requiring either environmental tuning or pre-training. Using a real world benchmark dataset, we show that this method creates distributions appropriate to a specific environment in an online manner. Our method performs comparably to FAB-MAP in raw place recognition performance, and integrates into a state of the art probabilistic mapping system to provide superior performance to whole-image methods that are not based on true probability distributions. The method provides a principled means for combining the powerful change-invariant properties of whole-image descriptors with probabilistic back-end mapping systems without the need for prior training or system tuning.

Ownership, corporate governance and IPO post-listing liquidity

This thesis investigates how ownership structure and corporate governance relate to the post-listing liquidity of IPO firms. Using a sample of 1,049 Chinese IPOs from 2001 to 2010, the results show firms with a broader shareholder base and higher ownership concentration have greater post-listing liquidity. So do firms with higher state ownership and lower institution ownership. Corporate governance is also important; post-listing liquidity is higher for firms with CEO duality, a larger and more independent board, and more frequent board meetings. The 2005 Split Share Structure Reform, which increased the proportion of tradable shares, has a positive impact on liquidity.