Color histogram

Color is widely remarked as one of the most demonstrative visual features, and as such it has been largely studied in the context of CBIR, thus number one to a rich variety of descriptors. As traditional color features used in CBIR, there are color histogram, color correlogram, and dominant color descriptor (DCD) [1,3,4]. A simple color similarity between two images can be measured by comparing their color histograms. The color histogram, which is a common color descriptor, indicates the occurrence

file to build the truth and reconstructed signal histograms, as well as the smearing matrix. Then, we

HONORS STATISTICS CH1 In an observational study, researchers simply observe characteristics and take measurements, as in a sample survey. In a designed experiment, researchers impose treatments and controls and then observe characteristics and take measurements. Data from a sample of citizens of a certain country yielded the following estimates of average TV viewing time per month for all the citizens. Answer: Inferential, because the statistics are used to make inference about the

disadvantages in background modeling method. At first, it must suit the change of environment. Many factors can result in the change of environment, such that illumination. If the illumination changes, the color of the images will change. For example, in the condition of sufficient light, the color of the grass will change from dark green to light green. This change will make the background modeling fails. The second disadvantage of background modeling is that if the camera shakes, this will make the

distribution in SPSS, the author’s findings of the research, and what the author learned from utilizing the dataset provided. In this lab assignment, there were several steps completed for frequencies, frequency tables, bar charts, pie charts, and histograms with the 1998 state court dataset. These analytical tasks prove the ability to successfully complete and report frequency distributions. From the 1998 state court data file, the following variables analyzed in SPSS were: race of defendant, age

coastal areas of North and South Carolina. Many of Molly's customers ask her to ship their purchases. The following chart shows the number of packages shipped per day for the last 100 days. | (a) | What is this chart called? |   |   |   | Histogram  | (b) | What is the total number of frequencies? |   |   |   | 90  | (c) | What is the class interval? |   |   |   | 5  | (d) | What is the class frequency for the 0 to 5 class? |   |   |   | 5  | (e) | What is the relative

Introduction The subsequent statistical data focus on statistical information from the AJ Davis Dept. Store. The department store endeavors to unearth the veracity about their credit customers. The Data are incorporated of a sample of 50 credit customers based on five different variables namely the location (rural, urban, suburban), incomes, year, and the credit balance. 1.LOCATION (Rural, Urban, Suburban) 2.INCOME (in $1,000 's be careful with this) 3.SIZE (Household Size, meaning number of people

A frequency distribution (use a class width of 3 hours) b. A relative frequency distribution c. A histogram d. An ogive e. Comment on what the data indicate about personal computer usage at home. The majority of people (about 75%) spend less than 7 hours per week using their computers and only 4 percent of people use their computers

Case 2.1 Server Downtime As part of the first assignment, research and analysis of the downtime on a client’s primary network servers during the month of April must be done in order to further prepare a presentation to the company’s management. Downtime refers to a period of time that a system fails to provide or perform its primary function. The term is commonly applied to networks and servers. Server downtime, a period of time when the server is unusable, is prevented by close monitoring and

CHAPTER 1 FACIAL RECOGNITION SYSTEM 1.1 INTRODUCTION A biometrics is, “Automated methods of recognizing an individual based on their unique physical or behavioral characteristics.” For example face, fingerprint, signature, voice etc. Face recognition is a task humans perform remarkably easily and successfully. In face recognition Features extracted from a face are processed and compared with similarly processed faces present in the database. If a face is recognized it is known or the system may