其他人会看到一个棱镜或巨大的像素点，又或者只是一个形状。
可以使用set函数绘制单个像素点。
该显示屏在多个像素点近旁嵌入了微型光学传感器。
Optical LCDs embed tiny light sensors next to many of the screen’s pixels.
这使得单个像素点更小，图像看上去更加锐利和清晰。
This makes each individual pixel smaller, creating images that look sharper and cleaner.
这三种特性是：屏幕大小，像素点和刷新率。
These three characteristics are: screen size, the dot and refresh rate.
直方图展示像素点值的数量，忽略其位置。
The histogram shows the number of pixels of each value, regardless of location.
不仅颜色和黑色更深更丰富，屏幕上不再出现像素点位。
Not only are the colors and blacks deep and rich, but you simply cannot see pixels on the screen.
可以理解的是，人们想尽可能利用好每一个宝贵的像素点。
Understandably people want to use those precious pixels and squeeze every useable space they can out of a layout.
可以使用get操作来读取显示中的一个给定像素点的颜色。
You can use a get operation to read the color of a given pixel in the display.
介绍了一种基于像素点的颜色绝对误差的图像插值算法。
This article introduces an algorithm of interpolation, which is based on the absolute error of pixel in color.
其次滤除受高斯噪声污染的像素点，采用对称近邻均值滤波算法。
Following that the Gaussian noises are filtered out by symmetrical-neighbor mean filtering.
像素点以毫米为单位，表示屏幕上相同颜色的磷光点之间的对角线距离。
Dot is measured in millimeters (mm), and indicates the diagonal distance between same-colored phosphor dots on the screen.
通过提取直方图的外层，以及计算像素点周围的局部模糊程度来更新粗糙度。
By extracting encrustation of histogram, and calculating partial fuzzy extent around pixels to update the fuzzy roughness.
原子像亮点定位可由像素点灰度峰值检测法或局部像素点灰度平均法完成。
The peak detection and the local position average methods can be used to determine the central positions of the bright spots in atomic image.
圆形分段以每个彩色像素点映射一个值，并将每一维的数据在不同区域显示。
Each colorized pixel point maps a value, and a dimensional data is displayed in different section for partitioning section of rotundity.
为空间定义的颜色只有几个：stroke用来更改颜色，point用于绘制像素点。
A few colors are defined for the space, stroke is used to change colors, and point is used to draw a pixel.
理论上，此校正方法具有小于一个像素点的误差，满足业务上所需的订正精度。
Theoretically, the arithmetic has an error less than one pixel, which is accurate enough for routine calibration.
为了得出以上结果，我们分别测试了物体的顶点、底部、左端、右端的像素点。
In order to do this we use the top most, bottom most, left most, and right most point of the object.
算法根据丢失像素点中是否含有边界，把丢失的像素点分为平稳点和非平稳点。
The algorithm is based on the edge information, which is divided from two parts, stable pixels and unstable pixels.
另外，许多分类错误是由SAR图像的像素点类别混淆和相干斑噪声干扰引起的。
Besides, many classification errors are caused by mixed pixels and speckle noise of the SAR image.
但由于确定各像素点属于哪一个圆环需要进行复杂的乘积运算，耗费了大量时间。
But the arithmetic product operation is needed to determine a pixel belonging to which circular ring, which consumes much time.
每一个胶囊作为一个像素点，通过向每个胶囊发送适当的电信号，黑白图片能被生成。
Each capsule ACTS as a picture element, so black and white images can be created by sending appropriate electrical signals to each capsule.
使用OLED像素点使Super AMOLED显示屏的色彩显示更加准确，同时对比度也更高。
The use of OLED pixels also allows the Super AMOLED display to show colors more accurately, while also giving a higher contrast.
该版本不是对视频的每一帧的每个像素进行分别的存储，而是通过存储的信息来预测像素点的颜色值。
Rather than storing every pixel of every frame of video separately, video algorithms store information that can be used to predict the color values of pixels.
当发射光照到相机的传感器上时，每个像素点抓取一个特定的波长，并对匹配波长的光线进行电子放大。
When reflected light hits the camera's sensor, each pixel picks up its dedicated wavelength, and is given an electronic boost of a matching wavelength.
显示器产生彩色像素点，我们的大脑给这些像素点一定的意义(如曲线、线、字幕和数字)。
Monitor produce colored dots, and these dots are given meanings (e.g. curves, lines, letters and Numbers) by our brains.
一个BMP计算机图像是最容易理解的，因为它不使用压缩，同时也使得读取图像像素点变得容易。
BMP computer image is the easiest to understand because it does not use compression, making pixel data retrieval much easier.
传统的阈值化算法仅仅使用像素点的灰度级信息，因而要求图像中的目标和背景在灰度级上是可分的。
Therefore, when applying a thresholding algorithm to an image, we generally assume that the background and target in that image occupy different gray level zone.
传统的阈值化算法仅仅使用像素点的灰度级信息，因而要求图像中的目标和背景在灰度级上是可分的。
Therefore, when applying a thresholding algorithm to an image, we generally assume that the background and target in that image occupy different gray level zone.
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